{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a4a3de80",
   "metadata": {},
   "source": [
    "# POlitical DIscourse Ontology Introduction"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "e087c004",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16365aa8",
   "metadata": {},
   "source": [
    "This research addresses the need for the systematic organization and integration of political discourse, regardless of the communication channels employed, whether rooted in social platforms or dissemination channels. The aim is to facilitate nuanced and advanced analyses that consider specific aspects of the political domain, including the persuasive nature of discourse, the ideological basis of the messages, the targeted audience (wether groups or comcommunities), and the temporal context of communication. The resulting ontology, named PODIO (POlitical DIscourse Ontology), offers a structured framework to enhance the understanding of political debate. It was successfully evaluated, confirming its error-free design and alignment with functional requirements. For validation, we integrated existing datasets in the Knowledge Graph from social media, news, and electoral programs, demonstrating the effectiveness of PODIO in representing diverse forms of political discourse."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc9c4bab",
   "metadata": {},
   "source": [
    "The available resources are listed bellow:\n",
    "- [The ontology github repository.](https://github.com/oeg-upm/PODIO)\n",
    "- [The ontology and the documentation.](https://w3id.org/podio)\n",
    "- [The Knowledge Graph.](https://w3id.org/podio/sparql)\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "90896c11",
   "metadata": {
    "hide_input": true
   },
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0188633",
   "metadata": {},
   "source": [
    "# PODIO Knowledge Graph"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68717218",
   "metadata": {},
   "source": [
    "## Generating triples"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c88d9142",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-12-20T19:42:50.523364Z",
     "start_time": "2023-12-20T19:42:50.520202Z"
    }
   },
   "source": [
    "You will need to install [yarrrml-parser](https://rml.io/yarrrml/tutorial/getting-started/) and download [rmlmapper-6.1.3](https://github.com/RMLio/rmlmapper-java/releases) to generate the RDF code and triples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "664ca44e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T16:57:02.082143Z",
     "start_time": "2024-02-06T16:57:02.076935Z"
    }
   },
   "outputs": [],
   "source": [
    "# This is the procedure to be used to generate the different triples.\n",
    "\n",
    "import os\n",
    "\n",
    "## Path where rmlmapper is\n",
    "script_path=\"mapping_requirements\"\n",
    "\n",
    "def generate_triples(filename_mappings, verbose=False):\n",
    "    ### Generate turtle file\n",
    "    os.system(f\"yarrrml-parser -i {filename_mappings}.yml -o {filename_mappings}.ttl\")\n",
    "    ### Generate triples\n",
    "    if verbose:\n",
    "        os.system(f\"java -jar {script_path}/rmlmapper-6.1.3-r367-all.jar -v -m {filename_mappings}.ttl -o {filename_mappings}.nt\")\n",
    "    else:\n",
    "        os.system(f\"java -jar {script_path}/rmlmapper-6.1.3-r367-all.jar -m {filename_mappings}.ttl -o {filename_mappings}.nt\")\n",
    "\n",
    "    return \"Triples Generated\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60636c99",
   "metadata": {},
   "source": [
    "### Split big files into subfiles"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3edeec0a",
   "metadata": {},
   "source": [
    "Some files are too large to use in their entirety or to import into the network. Here we split the files into smaller, manageable files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "54b5faf1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File splitted\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "def split_file(input_file_path, output_dir, chunk_size=190*1024*1024):\n",
    "    \"\"\"\n",
    "    Split a large text file into smaller files of specified size.\n",
    "\n",
    "    :param input_file_path: Path to the large input file.\n",
    "    :param output_dir: Directory where smaller files will be saved.\n",
    "    :param chunk_size: Size of each smaller file in bytes (default is 190MB).\n",
    "    \"\"\"\n",
    "    # Ensure the output directory exists\n",
    "    os.makedirs(output_dir, exist_ok=True)\n",
    "    \n",
    "    # Initialize variables\n",
    "    file_number = 0\n",
    "    file_size = 0\n",
    "    output_file = None\n",
    "    \n",
    "    with open(input_file_path, 'r') as input_file:\n",
    "        while True:\n",
    "            # Read the file line by line\n",
    "            line = input_file.readline()\n",
    "            \n",
    "            # If end of file is reached, break\n",
    "            if not line:\n",
    "                break\n",
    "            \n",
    "            # If output file is not open or exceeds chunk size, open a new file\n",
    "            if output_file is None or file_size + len(line) > chunk_size:\n",
    "                if output_file:\n",
    "                    output_file.close()\n",
    "                \n",
    "                output_file_path = os.path.join(output_dir, f'output_{file_number}.nt')\n",
    "                output_file = open(output_file_path, 'w')\n",
    "                file_number += 1\n",
    "                file_size = 0\n",
    "            \n",
    "            # Write the line to the output file\n",
    "            output_file.write(line)\n",
    "            file_size += len(line)\n",
    "    \n",
    "    # Close the last output file\n",
    "    if output_file:\n",
    "        output_file.close()\n",
    "\n",
    "# Example usage\n",
    "# input_file_path = 'mappings/mappings_conversational.nt'\n",
    "# output_dir = 'mappings'\n",
    "# split_file(input_file_path, output_dir)\n",
    "# print(\"File splitted\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e52e363f",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### Party Manifestos and Political Proposals"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ee5656a",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Among the datasets of party manifestos available online, the most relevant we have found are:\n",
    "\n",
    "Description|Dataset\n",
    "---|---\n",
    "**USA elections party manifestos**| Woolley, J. T., Peters, G. & University Of California, S. B. (1999) The American Presidency Project. Santa Barbara, Calif.: University of California. [Web.] Retrieved from the Library of Congress, https://lccn.loc.gov/2005616760.\n",
    "**USA States elections party manifestos** | Hopkins, Daniel J; Coffey, Daniel J; Galvin, Daniel J; Gamm, Gerald; Henderson, John; Paddock, Joel W.; Schickler, Eric, 2022, \"Select American State Party Platforms, 1846-2017\", https://doi.org/10.7910/DVN/KNOSHL, Harvard Dataverse, V1\n",
    "**Scottish elections party manifestos** | Greene, Zachary; McMillan, Fraser, 2020, \"Scottish Party Election Manifestos, 1999-2016\", https://doi.org/10.7910/DVN/PH8XZO, Harvard Dataverse, V1\n",
    "**German local elections party manifestos** | Gross, M., & Jankowski, M. (2019). Dimensions of political conflict and party positions in multi-level democracies: evidence from the Local Manifesto Project. In West European Politics (Vol. 43, Issue 1, pp. 74–101). Informa UK Limited. https://doi.org/10.1080/01402382.2019.1602816\n",
    "**Spanish regional elections party manifestos** | Alonso, S., Gómez, B., & Cabeza, L. (2013). Measuring Centre–Periphery Preferences: The Regional Manifestos Project. In Regional & Federal Studies (Vol. 23, Issue 2, pp. 189–211). Informa UK Limited. https://doi.org/10.1080/13597566.2012.754351\n",
    "**European elections party manifestos** | Schmitt, Hermann, & Wüst, Andreas M. (2012). Euromanifestos Project (EMP) 1979 - 2004. GESIS Data Archive, Cologne. ZA4457 Data file Version 1.0.0, https://doi.org/10.4232/1.4457.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea4f269b",
   "metadata": {
    "hidden": true
   },
   "source": [
    "To meet the competency questions we will reuse USA elections party manifestos from 2020 and 2016. This implies that we will use the 2020 and 2016 Democratic party manifestos and the 2016 Republican party manifesto. This is because there is no new party platform for republican party in 2020 elections, they reuse the 2016 manifesto: [*\"RESOLVED, That the 2020 Republican National Convention will adjourn without adopting a new platform until the 2024 Republican National Convention;\"*](https://www.presidency.ucsb.edu/documents/resolution-regarding-the-republican-party-platform)\n",
    "\n",
    "Party manifestos are replete of policy proposals such as the following: *Democrats will aggressively enforce non-discrimination protections in the Americans with Disabilities Act and other civil rights laws, especially when designing emergency management systems and new facilities and services in response to the pandemic. Democrats will prohibit unjustified segregation of patients with disabilities, and additionally prohibit rationing of health care that refuses or diverts hospitalization, treatment, or supplies based on a patient's disability. We recognize people with disabilities living in group homes and other care facilities are at greater risk of contracting COVID-19, and that people with disabilities may require additional resources to protect their health, well-being, and independence during the pandemic. We will improve oversight and expand protections for residents and staff at nursing homes, which have seen some of the worst COVID-19 outbreaks. And we will expand support for telemedicine, so Americans do not have to go without essential health care during the pandemic.*\n",
    "\n",
    "Extracting the policy proposals with granularity and precision is a complicated task. Whereas in other party manifestos it is easier because the proposals are numbered, in the US elections manifestos this is not the case. In order to populate the KG, we decided to generalise and take every paragraph of the party manifesto as a policy proposal. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b1fa99d6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T16:57:05.876944Z",
     "start_time": "2024-02-06T16:57:03.534104Z"
    },
    "code_folding": [],
    "hidden": true,
    "scrolled": false
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   "outputs": [],
   "source": [
    "# Downloading the Manifestos, aggregate with metadata and save them as JSON\n",
    "from bs4 import BeautifulSoup\n",
    "import requests, json, os\n",
    "\n",
    "## Set filenames (WITHOUT extension)\n",
    "if not os.path.exists(\"data\"): os.mkdir(\"data\")\n",
    "filename_manifestos= \"data/manifestos\"\n",
    "filename_proposals= \"data/proposals\"\n",
    "\n",
    "## Download the manifestos from the web and aggregate with extra data\n",
    "manifestos= {}\n",
    "pmanifestos= [\"2020-democratic-party-platform\", \"2016-democratic-party-platform\", \"2016-republican-party-platform\"]\n",
    "for pmanifesto in pmanifestos:\n",
    "    response = requests.get(f'https://www.presidency.ucsb.edu/documents/{pmanifesto}')\n",
    "    assert(response.status_code==200)\n",
    "\n",
    "    soup = BeautifulSoup(response.content, 'html.parser')\n",
    "    content= soup.find('div', class_='field-docs-content').text\n",
    "    manifestos[pmanifesto]= {\"date\": f\"{pmanifesto.split('-')[0]}-1-1T00:00:00\", \n",
    "                             \"pparty_id\": f'{pmanifesto.split(\"-\")[1]}Party',\n",
    "                             \"source\": f'https://www.presidency.ucsb.edu/documents/{pmanifesto}',\n",
    "                             \"language\": \"http://id.loc.gov/vocabulary/iso639-2/eng\",\n",
    "                             \"content\": content}\n",
    "\n",
    "manifestos[\"2020-democratic-party-platform\"][\"pparty\"]= \"http://www.wikidata.org/entity/Q29552\"\n",
    "manifestos[\"2020-democratic-party-platform\"][\"ideology\"]= \"http://www.wikidata.org/entity/Q16152203\"\n",
    "manifestos[\"2020-democratic-party-platform\"][\"candidate\"]= \"http://www.wikidata.org/entity/Q6279\"\n",
    "manifestos[\"2020-democratic-party-platform\"][\"party_wikidata_id\"]= \"Q29552\"\n",
    "manifestos[\"2020-democratic-party-platform\"][\"candidate_wikidata_id\"]= \"Q6279\"\n",
    "\n",
    "\n",
    "\n",
    "manifestos[\"2016-democratic-party-platform\"][\"pparty\"]= \"http://www.wikidata.org/entity/Q29552\"\n",
    "manifestos[\"2016-democratic-party-platform\"][\"ideology\"]= \"http://www.wikidata.org/entity/Q16152203\"\n",
    "manifestos[\"2016-democratic-party-platform\"][\"candidate\"]= \"http://www.wikidata.org/entity/Q6294\"\n",
    "manifestos[\"2016-democratic-party-platform\"][\"party_wikidata_id\"]= \"Q29552\"\n",
    "manifestos[\"2016-democratic-party-platform\"][\"candidate_wikidata_id\"]= \"Q6294\"\n",
    "\n",
    "\n",
    "manifestos[\"2016-republican-party-platform\"][\"pparty\"]= \"http://www.wikidata.org/entity/Q29468\"\n",
    "manifestos[\"2016-republican-party-platform\"][\"ideology\"]= \"http://www.wikidata.org/entity/Q7169\"\n",
    "manifestos[\"2016-republican-party-platform\"][\"candidate\"]= \"http://www.wikidata.org/entity/Q22686\"\n",
    "manifestos[\"2016-republican-party-platform\"][\"party_wikidata_id\"]= \"Q29468\"\n",
    "manifestos[\"2016-republican-party-platform\"][\"candidate_wikidata_id\"]= \"Q22686\"\n",
    "\n",
    "\n",
    "manifestos[\"2020-republican-party-platform\"]= manifestos[\"2016-republican-party-platform\"].copy()\n",
    "manifestos[\"2020-republican-party-platform\"][\"date\"]= \"2020-1-1T00:00:00\"\n",
    "pmanifestos.append(\"2020-republican-party-platform\")\n",
    "\n",
    "## Save manifestos data\n",
    "with open(f\"{filename_manifestos}.json\", \"w\") as f:\n",
    "    json.dump(manifestos, f)\n",
    "\n",
    "## Extract policy proposals from manifestos\n",
    "policy_proposals= []\n",
    "for pmanifesto in pmanifestos:\n",
    "    proposals= [x for x in manifestos[pmanifesto][\"content\"].split(\"\\n\") if x != \"\"]\n",
    "    counter= 0\n",
    "    for proposal in proposals:\n",
    "        counter += 1\n",
    "        if pmanifesto.split(\"-\")[1] == \"republican\": \n",
    "            author= \"http://www.wikidata.org/entity/Q29468\"\n",
    "            ideology= \"http://www.wikidata.org/entity/Q7169\"\n",
    "        else: \n",
    "            author=\"http://www.wikidata.org/entity/Q29552\"\n",
    "            ideology= \"http://www.wikidata.org/entity/Q16152203\"\n",
    "        proposal_json= {\n",
    "            \"id\": counter,\n",
    "            \"date\": f\"{pmanifesto.split('-')[0]}-1-1T00:00:00\", \n",
    "            \"language\": \"http://id.loc.gov/vocabulary/iso639-2/eng\",\n",
    "            \"content\": proposal, \n",
    "            \"source\": f'https://www.presidency.ucsb.edu/documents/{pmanifesto}',\n",
    "            \"word_count\": len(proposal.split()),\n",
    "            \"part_of\": f'{pmanifesto.split(\"-\")[1]}Party',\n",
    "            \"target\": \"http://www.wikidata.org/entity/Q846570\",\n",
    "            \"ideology\": ideology, \n",
    "            \"creator\": author,\n",
    "            \"publisher\": author\n",
    "        }\n",
    "        policy_proposals.append(proposal_json)\n",
    "\n",
    "## Save policy proposals data\n",
    "with open(f\"{filename_proposals}.json\", \"w\") as f:\n",
    "    json.dump(policy_proposals, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5f94501a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T16:57:30.037738Z",
     "start_time": "2024-02-06T16:57:05.878173Z"
    },
    "code_folding": [
     8,
     31,
     35
    ],
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Political Party Manifestos Triples Generated\n"
     ]
    }
   ],
   "source": [
    "# Generate the data mapping file to transform the above data into triples\n",
    "import os\n",
    "\n",
    "## Set filenames (WITHOUT extension)\n",
    "filename_mappings= \"mappings/mappings_manifestos\"\n",
    "if not os.path.exists(\"mappings\"): os.mkdir(\"mappings\")\n",
    "\n",
    "## Generate mapping file according to the JSONs data\n",
    "mapping= f\"\"\"\n",
    "prefixes:\n",
    "    #Core imports\n",
    "    rdf: \"http://www.w3.org/1999/02/22-rdf-syntax-ns#\"\n",
    "    rdfs: \"http://www.w3.org/2000/01/rdf-schema#\"\n",
    "    xsd: \"http://www.w3.org/2001/XMLSchema#\"\n",
    "    xml: \"http://www.w3.org/XML/1998/namespace\"\n",
    "    #Vocabulary imports\n",
    "    schema: \"http://schema.org/\"\n",
    "    terms: \"http://purl.org/dc/terms/\"\n",
    "    dc: \"http://purl.org/dc/elements/1.1/\"\n",
    "    dcam: \"http://purl.org/dc/dcam/\"\n",
    "    vann: \"http://purl.org/vocab/vann/\"\n",
    "    skos: \"http://www.w3.org/2004/02/skos/core#\"\n",
    "    #Ontology imports\n",
    "    owl: \"http://www.w3.org/2002/07/owl#\"\n",
    "    foaf: \"http://xmlns.com/foaf/0.1/\"\n",
    "    sioc: \"http://rdfs.org/sioc/ns#\"\n",
    "    lkg: \"http://lkg.lynx-project.eu/def/\"\n",
    "    nif: \"http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#\"\n",
    "    eli: \"http://data.europa.eu/eli/ontology#\"\n",
    "    #Knowledge graph domain declaration\n",
    "    podio: \"http://w3id.org/podio#\" # URL to ontoology\n",
    "\n",
    "sources:\n",
    "    manifestos_json: [{filename_manifestos}.json~jsonpath, \"$.[*]\"]\n",
    "    proposals_json: [{filename_proposals}.json~jsonpath, \"$.[*]\"]\n",
    "\n",
    "mappings:\n",
    "    Manifestos:\n",
    "        sources: \n",
    "          - manifestos_json\n",
    "        s: podio:PartyManifesto/USA/$(pparty_id)/$(date)\n",
    "        po:\n",
    "          - [a, podio:PartyManifesto]\n",
    "          - [terms:language, $(language)~iri]\n",
    "          - [terms:created, $(date), xsd:dateTime]\n",
    "          - [terms:source, $(source)~iri]\n",
    "          - [terms:publisher, $(pparty)~iri]\n",
    "          - [podio:content, $(content), xsd:string]\n",
    "          - [podio:ideology, $(ideology)~iri]\n",
    "          - [podio:proposesCandidate, $(candidate)~iri]\n",
    "\n",
    "    Proposals:\n",
    "        sources: \n",
    "          - proposals_json\n",
    "        s: podio:PolicyProposal/USA/$(part_of)/$(date)/$(id)\n",
    "        po:\n",
    "          - [a, podio:PolicyProposal]\n",
    "          - [terms:language, $(language)~iri]\n",
    "          - [terms:created, $(date), xsd:dateTime]\n",
    "          - [terms:source, $(source)~iri]\n",
    "          - [terms:identifier, $(id), xsd:int]\n",
    "          - [podio:ideology, $(ideology)~iri]\n",
    "          - [podio:content, $(content), xsd:string]\n",
    "          - [schema:wordCount, $(word_count)]\n",
    "          - [terms:publisher, $(publisher)~iri]\n",
    "          - [terms:creator, $(creator)~iri]\n",
    "          - [podio:hasTarget, $(target)~iri]\n",
    "          - [terms:isPartOf, podio:PartyManifesto/USA/$(part_of)/$(date)~iri]\n",
    "    \n",
    "    AgentCandidate:\n",
    "        sources: \n",
    "          - manifestos_json\n",
    "        s: $(candidate)\n",
    "        po:\n",
    "          - [a, foaf:Agent]\n",
    "          - [terms:identifier, $(candidate_wikidata_id), xsd:string]\n",
    "          - [rdfs:isDefinedBy, $(candidate)~iri]\n",
    "        \n",
    "    AgentParty:\n",
    "        sources: \n",
    "          - manifestos_json\n",
    "        s: $(pparty)\n",
    "        po:\n",
    "          - [a, foaf:Agent]\n",
    "          - [terms:identifier, $(party_wikidata_id), xsd:string]\n",
    "          - [rdfs:isDefinedBy, $(pparty)~iri]\n",
    "\"\"\"\n",
    "\n",
    "## Save mappings file\n",
    "with open(f\"{filename_mappings}.yml\", \"w\") as f:\n",
    "    f.write(mapping)\n",
    "    \n",
    "## Generate the triples\n",
    "generate_triples(filename_mappings)\n",
    "\n",
    "print(\"Political Party Manifestos Triples Generated\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6a89168",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### Social Media Posts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f71044ba",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Among the datasets of political social media posts available online, the most relevant we have found are:\n",
    "\n",
    "Social Media | Description | Dataset\n",
    "--- | --- | ---\n",
    "Facebook | **2019 Spanish General Elections Facebook Ads** | Baviera Puig, T. (2020). 2019 Spanish General Elections Facebook Ads Dataset. Universitat Politècnica de València. https://doi.org/10.4995/Dataset/10251/146502\n",
    "Twitter | **Spanish political parties tweets** | https://www.kaggle.com/datasets/ricardomoya/tweets-poltica-espaa/data\n",
    "Twitter | **Trump Tweets as of June 2020** | https://www.kaggle.com/datasets/austinreese/trump-tweets/data\n",
    "Twitter | **Bidedn Tweets in 2019 and 2020** | https://www.kaggle.com/datasets/akashdusane/joe-biden-tweets-us-elections\n",
    "\n",
    "To show the ability to work with different social networks we will include data from both Twitter and Facebook. In addition, we will include posts from two different countries to demonstrate that PODIO is able to correctly represent the international political discourse. This knowledge will be exploited with SPARQL queries.\n",
    "\n",
    "As many datasets are from Kaggle, you need to install [kaggle](https://pypi.org/project/kaggle/) library and get a free API key, see the [kaggle documentation](https://www.kaggle.com/docs/api) for more information about this. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5d57024f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T16:57:37.522764Z",
     "start_time": "2024-02-06T16:57:30.039295Z"
    },
    "code_folding": [],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# Data set downloading\n",
    "import kaggle\n",
    "import requests\n",
    "import os \n",
    "\n",
    "if not os.path.exists(\"data\"): os.mkdir(\"data\")\n",
    "\n",
    "## https://www.kaggle.com/docs/api\n",
    "kaggle.api.authenticate\n",
    "\n",
    "## Spanish political parties tweets\n",
    "kaggle.api.dataset_download_files('ricardomoya/tweets-poltica-espaa', path='data/', unzip=True)\n",
    "\n",
    "## Trump Tweets as of June 2020\n",
    "kaggle.api.dataset_download_files(\"austinreese/trump-tweets\", path='data/', unzip=True)\n",
    "\n",
    "## Bidedn Tweets in 2019 and 2020\n",
    "kaggle.api.dataset_download_files(\"akashdusane/joe-biden-tweets-us-elections\", path='data/', unzip=True)\n",
    "\n",
    "## 2019 Spanish General Elections Facebook Ads\n",
    "response = requests.get(\"https://riunet.upv.es/bitstream/handle/10251/146502/Facebook_Ads_2019_Spanish_General_Elections.csv?sequence=1&isAllowed=y\")\n",
    "open(\"data/facebook_ads.csv\", \"w\").write(response.content.decode('utf-16'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "bb443c3f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T16:57:39.669984Z",
     "start_time": "2024-02-06T16:57:37.525180Z"
    },
    "code_folding": [],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# Data sets loading, cleaning, enriching and storage\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "import re, json\n",
    "\n",
    "## Set filenames (WITHOUT extension)\n",
    "filename_all_data= \"data/conversational\"\n",
    "filename_extra_data= \"data/conversational_extra\"\n",
    "filename_metrics_data= \"data/conversational_metrics\"\n",
    "\n",
    "## Limit to avoid overloading the graph database due to excessive volume of data sets.\n",
    "limit=4000 #If you do not want limit set as None\n",
    "\n",
    "## Dataset loading\n",
    "df_spain_facebook_ads= pd.read_csv(\"data/facebook_ads.csv\", sep=';', on_bad_lines='skip')[:limit]\n",
    "df_spain_tweets= pd.read_csv(\"data/tweets_politica_kaggle.csv\", sep='\\t', on_bad_lines='skip')[:limit]\n",
    "df_trump_tweets= pd.read_csv(\"data/realdonaldtrump.csv\", sep=',', on_bad_lines='skip')[:limit]\n",
    "df_biden_tweets= pd.read_csv(\"data/JoeBiden_Tweets_2019-20.csv\", sep=',', on_bad_lines='skip')[:limit]\n",
    "\n",
    "## Manual entity linking\n",
    "wikidata_ideology= {\"izquierdaunida\": \"http://www.wikidata.org/entity/Q121254\",\n",
    "                    \"ciudadanos\": \"http://www.wikidata.org/entity/Q6216\",\n",
    "                    \"psoe\": \"http://www.wikidata.org/entity/Q821102\",\n",
    "                    \"partidopopular\": \"http://www.wikidata.org/entity/Q617609\",\n",
    "                    \"pp\": \"http://www.wikidata.org/entity/Q617609\",\n",
    "                    \"podemos\": \"http://www.wikidata.org/entity/Q275595\",\n",
    "                    \"voxespaña\": \"http://www.wikidata.org/entity/Q948731\",\n",
    "                    \"vox\": \"http://www.wikidata.org/entity/Q948731\",\n",
    "                    \"realdonaldtrump\": \"http://www.wikidata.org/entity/Q31838499\",\n",
    "                    \"joebiden\": \"http://www.wikidata.org/entity/Q16152203\"}\n",
    "\n",
    "wikidata_agent= {  \"izquierdaunida\": \"http://www.wikidata.org/entity/Q623740\",\n",
    "                    \"ciudadanos\": \"http://www.wikidata.org/entity/Q1393123\",\n",
    "                    \"psoe\": \"http://www.wikidata.org/entity/Q138198\",\n",
    "                    \"partidopopular\": \"http://www.wikidata.org/entity/Q185088\",\n",
    "                    \"pp\": \"http://www.wikidata.org/entity/Q185088\",\n",
    "                    \"podemos\": \"http://www.wikidata.org/entity/Q16059622\",\n",
    "                    \"voxespaña\": \"http://www.wikidata.org/entity/Q15630787\",\n",
    "                    \"vox\": \"http://www.wikidata.org/entity/Q15630787\",\n",
    "                    \"realdonaldtrump\": \"http://www.wikidata.org/entity/Q22686\",\n",
    "                    \"joebiden\": \"http://www.wikidata.org/entity/Q6279\"}\n",
    "\n",
    "\n",
    "## Regular expresion for extracting social media specific data\n",
    "pattern_twitter_mentions= r'(?<=[^\\w!])@(\\w+)\\b'\n",
    "pattern_facebook_mentions = r'(?<=[^\\w!])@([A-Z][a-z0-9]*\\s?(?:[A-Z][a-z0-9]*)*)\\b'\n",
    "pattern_hashtag = r'(?!\\s)#([A-Za-z]\\w*)\\b'\n",
    "pattern_links= r'(?:http|ftp|https):\\/\\/(?:[\\w_-]+(?:(?:\\.[\\w_-]+)+))(?:[\\w.,@?^=%&:\\/~+#-]*[\\w@?^=%&\\/~+#-])'\n",
    "\n",
    "## Dataset specific operations: cleaning and enriching\n",
    "df_spain_tweets.drop(['cuenta'], axis=1, inplace=True)\n",
    "df_spain_tweets.rename(columns = {'timestamp':'date'}, inplace = True) \n",
    "df_spain_tweets.rename(columns = {'tweet':'content'}, inplace = True) \n",
    "df_spain_tweets.rename(columns = {'partido':'account'}, inplace = True) \n",
    "df_spain_tweets[\"account\"]= [x.replace(\" \",\"\") for x in df_spain_tweets[\"account\"]]\n",
    "df_spain_tweets[\"date\"]= [str(datetime.fromtimestamp(row).isoformat()) for row in df_spain_tweets[\"date\"]]\n",
    "df_spain_tweets[\"mentions\"]= [re.findall(pattern_twitter_mentions, str(text), re.IGNORECASE) for text in df_spain_tweets[\"content\"]]\n",
    "df_spain_tweets[\"hashtags\"]= [re.findall(pattern_hashtag, str(text), re.IGNORECASE) for text in df_spain_tweets[\"content\"]]\n",
    "df_spain_tweets[\"links\"]= [re.findall(pattern_links, str(text), re.IGNORECASE) for text in df_spain_tweets[\"content\"]]\n",
    "df_spain_tweets[\"agent\"]= [wikidata_agent[x.lower()] for x in df_spain_tweets[\"account\"]]\n",
    "df_spain_tweets[\"ideology\"]= [wikidata_ideology[x.lower()] for x in df_spain_tweets[\"account\"]]\n",
    "df_spain_tweets[\"media\"]=[\"Twitter\" for x in range(df_spain_tweets.shape[0])]\n",
    "df_spain_tweets[\"media_url\"]=[\"https://twitter.com/\" for x in range(df_spain_tweets.shape[0])]\n",
    "df_spain_tweets[\"source\"]=[\"https://www.kaggle.com/datasets/ricardomoya/tweets-poltica-espaa\" for x in range(df_spain_tweets.shape[0])]\n",
    "df_spain_tweets[\"language\"]=[\"http://id.loc.gov/vocabulary/iso639-2/spa\" for x in range(df_spain_tweets.shape[0])]\n",
    "df_spain_tweets[\"id\"]= [f\"twes{x}\" for x in range(df_spain_tweets.shape[0])]\n",
    "df_spain_tweets[\"word_count\"]= [len(str(text).split()) for text in df_spain_tweets[\"content\"]]\n",
    "df_spain_tweets[\"content\"]= [str(x).replace(\"\\\"\", \"\\'\").replace(\"“\", \"\\'\") for x in df_spain_tweets[\"content\"]]\n",
    "\n",
    "### ----------- ###\n",
    "\n",
    "df_spain_facebook_ads.drop(['id_anuncio'], axis=1, inplace=True)\n",
    "df_spain_facebook_ads.drop(['id_nombre_archivo'], axis=1, inplace=True)\n",
    "df_spain_facebook_ads.drop(['elecciones'], axis=1, inplace=True)\n",
    "df_spain_facebook_ads.drop(['Identificador_Fb'], axis=1, inplace=True)\n",
    "df_spain_facebook_ads.drop(['Fecha cierre'], axis=1, inplace=True)\n",
    "df_spain_facebook_ads.drop(['Texto de las Fechas'], axis=1, inplace=True)\n",
    "df_spain_facebook_ads.drop(['Imagen'], axis=1, inplace=True)\n",
    "df_spain_facebook_ads.drop(['Video'], axis=1, inplace=True)\n",
    "df_spain_facebook_ads.drop(['Carrusel'], axis=1, inplace=True)\n",
    "df_spain_facebook_ads.drop(['Dinero'], axis=1, inplace=True)\n",
    "df_spain_facebook_ads.drop(['id_contenido_anuncio'], axis=1, inplace=True)\n",
    "df_spain_facebook_ads.rename(columns = {'Fecha lanzamiento':'date'}, inplace = True) \n",
    "df_spain_facebook_ads.rename(columns = {'Texto del Anuncio':'content'}, inplace = True) \n",
    "df_spain_facebook_ads.rename(columns = {'Impresiones':'views'}, inplace = True) \n",
    "df_spain_facebook_ads.rename(columns = {'Partido':'account'}, inplace = True)\n",
    "df_spain_facebook_ads[\"account\"]= [x.replace(\" \",\"\") for x in df_spain_facebook_ads[\"account\"]]\n",
    "df_spain_facebook_ads[\"date\"]= [str(datetime.strptime(f\"{row[:-2]}2019\", '%d/%m/%Y').isoformat()) for row in df_spain_facebook_ads[\"date\"]]\n",
    "df_spain_facebook_ads[\"mentions\"]= [re.findall(pattern_facebook_mentions, str(text), re.IGNORECASE) for text in df_spain_facebook_ads[\"content\"]]\n",
    "df_spain_facebook_ads[\"hashtags\"]= [re.findall(pattern_hashtag, str(text), re.IGNORECASE) for text in df_spain_facebook_ads[\"content\"]]\n",
    "df_spain_facebook_ads[\"links\"]= [re.findall(pattern_links, str(text), re.IGNORECASE) for text in df_spain_facebook_ads[\"content\"]]\n",
    "df_spain_facebook_ads[\"agent\"]= [wikidata_agent[x.lower()] for x in df_spain_facebook_ads[\"account\"]]\n",
    "df_spain_facebook_ads[\"ideology\"]= [wikidata_ideology[x.lower()] for x in df_spain_facebook_ads[\"account\"]]\n",
    "df_spain_facebook_ads[\"media\"]=[\"Facebook\" for x in range(df_spain_facebook_ads.shape[0])]\n",
    "df_spain_facebook_ads[\"media_url\"]=[\"https://facebook.com/\" for x in range(df_spain_facebook_ads.shape[0])]\n",
    "df_spain_facebook_ads[\"source\"]=[\"https://doi.org/10.4995/Dataset/10251/146502\" for x in range(df_spain_facebook_ads.shape[0])]\n",
    "df_spain_facebook_ads[\"language\"]=[\"http://id.loc.gov/vocabulary/iso639-2/spa\" for x in range(df_spain_facebook_ads.shape[0])]\n",
    "df_spain_facebook_ads[\"id\"]= [f\"fbesads{x}\" for x in range(df_spain_facebook_ads.shape[0])]\n",
    "df_spain_facebook_ads[\"word_count\"]= [len(str(text).split()) for text in df_spain_facebook_ads[\"content\"]]\n",
    "df_spain_facebook_ads[\"content\"]= [str(x).replace(\"\\\"\", \"\\'\").replace(\"“\", \"\\'\") for x in df_spain_facebook_ads[\"content\"]]\n",
    "\n",
    "### ----------- ###\n",
    "    \n",
    "#The trump dataset comes with mentions and hashtags fields\n",
    "df_trump_tweets.fillna(\"\", inplace=True)\n",
    "df_trump_tweets.rename(columns = {'retweets':'reposts'}, inplace = True) \n",
    "df_trump_tweets.rename(columns = {'link':'source'}, inplace = True) \n",
    "df_trump_tweets.rename(columns = {'favorites':'likes'}, inplace = True) \n",
    "df_trump_tweets[\"links\"]= [re.findall(pattern_links, str(text), re.IGNORECASE) for text in df_trump_tweets[\"content\"]]\n",
    "df_trump_tweets[\"account\"]=[\"realDonaldTrump\" for x in range(df_trump_tweets.shape[0])]\n",
    "df_trump_tweets[\"agent\"]= [wikidata_agent[x.lower()] for x in df_trump_tweets[\"account\"]]\n",
    "df_trump_tweets[\"ideology\"]= [wikidata_ideology[x.lower()] for x in df_trump_tweets[\"account\"]]\n",
    "df_trump_tweets[\"media\"]=[\"Twitter\" for x in range(df_trump_tweets.shape[0])]\n",
    "df_trump_tweets[\"media_url\"]=[\"https://twitter.com/\" for x in range(df_trump_tweets.shape[0])]\n",
    "df_trump_tweets[\"language\"]=[\"http://id.loc.gov/vocabulary/iso639-2/eng\" for x in range(df_trump_tweets.shape[0])]\n",
    "df_trump_tweets[\"mentions\"]= [x.replace(\"@\", \"\").split(\",\") for x in df_trump_tweets[\"mentions\"]]\n",
    "df_trump_tweets[\"hashtags\"]= [x.replace(\"#\", \"\").split(\",\") for x in df_trump_tweets[\"hashtags\"]]\n",
    "df_trump_tweets['id'] = df_trump_tweets['id'].astype(str)\n",
    "df_trump_tweets[\"word_count\"]= [len(str(text).split()) for text in df_trump_tweets[\"content\"]]\n",
    "df_trump_tweets[\"content\"]= [str(x).replace(\"\\\"\", \"\\'\").replace(\"“\", \"\\'\") for x in df_trump_tweets[\"content\"]]\n",
    "\n",
    "### ----------- ###\n",
    "\n",
    "df_biden_tweets.rename(columns = {'tweet':'content'}, inplace = True) \n",
    "df_biden_tweets.rename(columns = {'retweets':'reposts'}, inplace = True) \n",
    "df_biden_tweets.rename(columns = {'url':'source'}, inplace = True) \n",
    "df_biden_tweets.rename(columns = {'timestamp':'date'}, inplace = True) \n",
    "df_biden_tweets[\"mentions\"]= [re.findall(pattern_twitter_mentions, str(text), re.IGNORECASE) for text in df_biden_tweets[\"content\"]]\n",
    "df_biden_tweets[\"hashtags\"]= [re.findall(pattern_hashtag, str(text), re.IGNORECASE) for text in df_biden_tweets[\"content\"]]\n",
    "df_biden_tweets[\"links\"]= [re.findall(pattern_links, str(text), re.IGNORECASE) for text in df_biden_tweets[\"content\"]]\n",
    "df_biden_tweets[\"account\"]=[\"joebiden\" for x in range(df_biden_tweets.shape[0])]\n",
    "df_biden_tweets[\"agent\"]= [wikidata_agent[x.lower()] for x in df_biden_tweets[\"account\"]]\n",
    "df_biden_tweets[\"ideology\"]= [wikidata_ideology[x.lower()] for x in df_biden_tweets[\"account\"]]\n",
    "df_biden_tweets[\"date\"]= [str(datetime.strptime(f\"{str(row)}\", '%d-%m-%Y %H:%M').isoformat()) for row in df_biden_tweets[\"date\"]]\n",
    "df_biden_tweets[\"media\"]=[\"Twitter\" for x in range(df_biden_tweets.shape[0])]\n",
    "df_biden_tweets[\"media_url\"]=[\"https://twitter.com/\" for x in range(df_biden_tweets.shape[0])]\n",
    "df_biden_tweets[\"language\"]=[\"http://id.loc.gov/vocabulary/iso639-2/eng\" for x in range(df_biden_tweets.shape[0])]\n",
    "#df_biden_tweets['id'] = df_biden_tweets['id'].astype(str)\n",
    "#Wrong kaggle data, we have to regenerate ids\n",
    "df_biden_tweets[\"id\"]= [f\"jbustw{x}\" for x in range(df_biden_tweets.shape[0])]\n",
    "df_biden_tweets[\"word_count\"]= [len(str(text).split()) for text in df_biden_tweets[\"content\"]]\n",
    "df_biden_tweets[\"content\"]= [str(x).replace(\"\\\"\", \"\\'\").replace(\"“\", \"\\'\") for x in df_biden_tweets[\"content\"]]\n",
    "\n",
    "\n",
    "## Merge all datasets\n",
    "all_data= pd.concat([df_spain_tweets, df_spain_facebook_ads, df_biden_tweets, df_trump_tweets], axis=0, join='outer', ignore_index=True)\n",
    "all_data.fillna(\"\", inplace=True)\n",
    "\n",
    "## We detect noise in the dataset that causes errors, so we must remove \\ character \n",
    "all_data[\"content\"]= [str(x).replace(\"\\\\\", \"\\\\\\\\\") for x in all_data[\"content\"]]\n",
    "\n",
    "## Extract some data from the dataset to different JSON files. This facilitates mapping.\n",
    "extra_data= []\n",
    "metrics_data= []\n",
    "for r in range(all_data.shape[0]):\n",
    "    if \"links\" in all_data.columns:\n",
    "        for link in all_data[\"links\"][r]:\n",
    "            if link==\"\": continue\n",
    "            links_json= {\"media\": all_data[\"media\"][r],\n",
    "                        \"id\": all_data[\"id\"][r],\n",
    "                        \"account\": all_data[\"account\"][r],\n",
    "                        \"link\": link}\n",
    "            extra_data.append(links_json)\n",
    "\n",
    "    for hashtag in all_data[\"hashtags\"][r]:\n",
    "        if hashtag==\"\": continue\n",
    "        hashtags_json= {\"media\": all_data[\"media\"][r],\n",
    "                         \"id\": all_data[\"id\"][r],\n",
    "                         \"account\": all_data[\"account\"][r],\n",
    "                         \"hashtag\": hashtag}\n",
    "        extra_data.append(hashtags_json)\n",
    "        \n",
    "    for mention in all_data[\"mentions\"][r]:\n",
    "        if mention==\"\": continue\n",
    "        mentions_json= {\"media\": all_data[\"media\"][r],\n",
    "                         \"id\": all_data[\"id\"][r],\n",
    "                         \"account\": all_data[\"account\"][r],\n",
    "                         \"mention\": mention}\n",
    "        extra_data.append(mentions_json)\n",
    "    \n",
    "    #Views\n",
    "    if \"views\" in all_data.columns:\n",
    "        views= all_data[\"views\"][r]\n",
    "        if views !=\"\":\n",
    "            views_json= {\"media\": all_data[\"media\"][r],\n",
    "                        \"id\": all_data[\"id\"][r],\n",
    "                        \"account\": all_data[\"account\"][r],\n",
    "                        \"metric\": \"http://schema.org/ViewAction\",\n",
    "                        \"metric_name\": \"ViewAction\",\n",
    "                        \"number\": views}\n",
    "            metrics_data.append(views_json)\n",
    "    \n",
    "    #Replies\n",
    "    if \"replies\" in all_data.columns:\n",
    "        replies = all_data[\"replies\"][r]\n",
    "        if replies !=\"\": \n",
    "            replies_json= {  \"media\": all_data[\"media\"][r],\n",
    "                            \"id\": all_data[\"id\"][r],\n",
    "                            \"account\": all_data[\"account\"][r],\n",
    "                            \"metric\": \"http://schema.org/ReplyAction\",\n",
    "                            \"metric_name\": \"ReplyAction\",\n",
    "                            \"number\": replies}\n",
    "            metrics_data.append(replies_json)\n",
    "\n",
    "    #Reposts\n",
    "    if \"reposts\" in all_data.columns:\n",
    "        reposts= all_data[\"reposts\"][r]\n",
    "        if reposts !=\"\":\n",
    "            reposts_json= {  \"media\": all_data[\"media\"][r],\n",
    "                            \"id\": all_data[\"id\"][r],\n",
    "                            \"account\": all_data[\"account\"][r],\n",
    "                            \"metric\": \"http://schema.org/ShareAction\",\n",
    "                            \"metric_name\": \"ShareAction\",\n",
    "                            \"number\": reposts}\n",
    "            metrics_data.append(reposts_json)\n",
    "    \n",
    "    #Quotes\n",
    "    if \"quotes\" in all_data.columns:\n",
    "        quotes= all_data[\"quotes\"][r]\n",
    "        if quotes !=\"\":\n",
    "            quotes_json= {\"media\": all_data[\"media\"][r],\n",
    "                        \"id\": all_data[\"id\"][r],\n",
    "                        \"account\": all_data[\"account\"][r],\n",
    "                        \"metric\": \"http://schema.org/CommentAction\",\n",
    "                        \"metric_name\": \"CommentAction\",\n",
    "                        \"number\": quotes}\n",
    "            metrics_data.append(quotes_json)\n",
    "    \n",
    "    #Likes\n",
    "    if \"likes\" in all_data.columns:\n",
    "        likes= all_data[\"likes\"][r]\n",
    "        if likes !=\"\":\n",
    "            likes_json= {\"media\": all_data[\"media\"][r],\n",
    "                        \"id\": all_data[\"id\"][r],\n",
    "                        \"account\": all_data[\"account\"][r],\n",
    "                        \"metric\": \"http://schema.org/LikeAction\",\n",
    "                        \"metric_name\": \"LikeAction\",\n",
    "                        \"number\": likes}\n",
    "            metrics_data.append(likes_json)\n",
    "\n",
    "\n",
    "## Remove redundant fields that exists in JSONs\n",
    "all_data.drop(['mentions'], axis=1, inplace=True)\n",
    "all_data.drop(['hashtags'], axis=1, inplace=True)\n",
    "if \"links\" in all_data.columns:\n",
    "    all_data.drop(['links'], axis=1, inplace=True)\n",
    "\n",
    "if \"views\" in all_data.columns: \n",
    "    all_data.drop(['views'], axis=1, inplace=True)\n",
    "if \"replies\" in all_data.columns: \n",
    "    all_data.drop(['replies'], axis=1, inplace=True)\n",
    "if \"reposts\" in all_data.columns: \n",
    "    all_data.drop(['reposts'], axis=1, inplace=True)\n",
    "if \"quotes\" in all_data.columns: \n",
    "    all_data.drop(['quotes'], axis=1, inplace=True)\n",
    "if \"likes\" in all_data.columns: \n",
    "    all_data.drop(['likes'], axis=1, inplace=True)\n",
    "\n",
    "## Export the dataset and the JSON files\n",
    "with open(f\"{filename_extra_data}.json\", \"w\") as f:\n",
    "    json.dump(extra_data, f)\n",
    "    \n",
    "with open(f\"{filename_metrics_data}.json\", \"w\") as f:\n",
    "    json.dump(metrics_data, f)\n",
    "    \n",
    "all_data.to_csv(f\"{filename_all_data}.csv\", sep=',', index=False)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "aded5d7d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T16:57:46.232566Z",
     "start_time": "2024-02-06T16:57:39.671213Z"
    },
    "code_folding": [],
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Conversational Discourse Triples Generated\n"
     ]
    }
   ],
   "source": [
    "# Generate the data mapping file to transform the above data into triples\n",
    "import os\n",
    "\n",
    "## Set filenames (WITHOUT extension)\n",
    "filename_mappings= \"mappings/mappings_conversational\"\n",
    "if not os.path.exists(\"mappings\"): os.mkdir(\"mappings\")\n",
    "\n",
    "## Generate mapping file according to the JSONs and dataset\n",
    "mapping= f\"\"\"\n",
    "prefixes:\n",
    "    #Core imports\n",
    "    rdf: \"http://www.w3.org/1999/02/22-rdf-syntax-ns#\"\n",
    "    rdfs: \"http://www.w3.org/2000/01/rdf-schema#\"\n",
    "    xsd: \"http://www.w3.org/2001/XMLSchema#\"\n",
    "    xml: \"http://www.w3.org/XML/1998/namespace\"\n",
    "    #Vocabulary imports\n",
    "    schema: \"http://schema.org/\"\n",
    "    terms: \"http://purl.org/dc/terms/\"\n",
    "    dc: \"http://purl.org/dc/elements/1.1/\"\n",
    "    dcam: \"http://purl.org/dc/dcam/\"\n",
    "    vann: \"http://purl.org/vocab/vann/\"\n",
    "    skos: \"http://www.w3.org/2004/02/skos/core#\"\n",
    "    #Ontology imports\n",
    "    owl: \"http://www.w3.org/2002/07/owl#\"\n",
    "    foaf: \"http://xmlns.com/foaf/0.1/\"\n",
    "    sioc: \"http://rdfs.org/sioc/ns#\"\n",
    "    lkg: \"http://lkg.lynx-project.eu/def/\"\n",
    "    nif: \"http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#\"\n",
    "    eli: \"http://data.europa.eu/eli/ontology#\"\n",
    "    #Knowledge graph domain declaration\n",
    "    podio: \"http://w3id.org/podio#\" # URL to ontoology\n",
    "\n",
    "sources:\n",
    "    extra_json: [{filename_extra_data}.json~jsonpath, \"$.[*]\"]\n",
    "    metrics_json: [{filename_metrics_data}.json~jsonpath, \"$.[*]\"]\n",
    "    data: [{filename_all_data}.csv~csv ]\n",
    "\n",
    "mappings:\n",
    "    Conversational:\n",
    "        sources:\n",
    "          - data\n",
    "        s: podio:Conversational/$(media)/$(account)/$(id)\n",
    "        po:\n",
    "          - [a, podio:Conversational]\n",
    "          - [terms:language, $(language)~iri]\n",
    "          - [terms:created, $(date), xsd:dateTime]\n",
    "          - [terms:source, $(source)~iri]\n",
    "          - [terms:identifier, $(id), xsd:string]\n",
    "          - [terms:publisher, $(agent)~iri]\n",
    "          - [terms:creator, $(agent)~iri]\n",
    "          - [sioc:has_creator, podio:UserAccount/$(media)/$(account)~iri]\n",
    "          - [podio:content, $(content), xsd:string]\n",
    "          - [podio:ideology, $(ideology)~iri]\n",
    "          - [schema:wordCount, $(word_count)]\n",
    "\n",
    "    conversationalObjectProperties:\n",
    "        sources:\n",
    "          - extra_json\n",
    "        s: podio:Conversational/$(media)/$(account)/$(id)\n",
    "        po:\n",
    "          - [sioc:has_container, podio:Hashtag/$(hashtag)~iri]\n",
    "          - [sioc:links_to, $(link), xsd:string]\n",
    "          - [sioc:mentions, podio:UserAccount/$(media)/$(mention)~iri]\n",
    "    \n",
    "    Hashtag:\n",
    "        sources:\n",
    "          - extra_json\n",
    "        s: podio:Hashtag/$(hashtag)\n",
    "        po:\n",
    "          - [a, podio:Hashtag]\n",
    "          - [terms:identifier, $(hashtag), xsd:string]\n",
    "\n",
    "    InteractionCounter:\n",
    "        sources:\n",
    "          - metrics_json\n",
    "        s: podio:Conversational/$(media)/$(account)/$(id)/$(metric_name)\n",
    "        po:\n",
    "          - [a, schema:InteractionCounter]\n",
    "          - [schema:interactionType, $(metric)~iri]\n",
    "          - [schema:userInteractionCount, $(number), xsd:string]\n",
    "          \n",
    "    interactionStatistic:\n",
    "        sources:\n",
    "          - metrics_json\n",
    "        s: podio:Conversational/$(media)/$(account)/$(id)\n",
    "        po:\n",
    "          - [schema:interactionStatistic, podio:Conversational/$(media)/$(account)/$(id)/$(metric_name)~iri]\n",
    "          \n",
    "    UserAccount:\n",
    "        sources:\n",
    "          - data\n",
    "        s: podio:UserAccount/$(media)/$(account)\n",
    "        po:\n",
    "          - [a, sioc:UserAccount]\n",
    "          - [sioc:account_of, $(agent)]\n",
    "          - [foaf:accountName, $(account), xsd:string]\n",
    "          - [foaf:accountServiceHomepage, $(media_url)]\n",
    "          - [sioc:creator_of, podio:Conversational/$(media)/$(account)/$(id)]\n",
    "    Agent:\n",
    "        sources: \n",
    "          - data\n",
    "        s: $(agent)\n",
    "        po:\n",
    "          - [a, foaf:Agent]\n",
    "          - [rdfs:isDefinedBy, $(agent)~iri]\n",
    "          - [foaf:holdsAccount, podio:UserAccount/$(media)/$(account)~iri]\n",
    "          \n",
    "\"\"\"\n",
    "\n",
    "## Save mappings file\n",
    "with open(f\"{filename_mappings}.yml\", \"w\") as f:\n",
    "    f.write(mapping)\n",
    "    \n",
    "## Generate the triples\n",
    "generate_triples(filename_mappings)\n",
    "\n",
    "print(\"Conversational Discourse Triples Generated\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2bfe788",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### Approved Policies"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91118419",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Of the resources available on the web on legislative documents, the most relevant we found to demonstrate the potential of PODIO are:\n",
    "\n",
    "Description | Dataset\n",
    "--- | --- \n",
    "**European Legal Knowledge Graph** | Moreno Schneider, J., Rehm, G., Montiel-Ponsoda, E., Rodríguez-Doncel, V., Martín-Chozas, P., Navas-Loro, M., Kaltenböck, M., Revenko, A., Karampatakis, S., Sageder, C., Gracia, J., Maganza, F., Kernerman, I., Lonke, D., Lagzdins, A., Bosque Gil, J., Verhoeven, P., Gomez Diaz, E., & Boil Ballesteros, P. (2022). Lynx: A knowledge-based AI service platform for content processing, enrichment and analysis for the legal domain. In Information Systems (Vol. 106, p. 101966). Elsevier BV. https://doi.org/10.1016/j.is.2021.101966 \n",
    "**Publications of Arganda del Rey city council in the official gazette of the state and of the community in the period 1985-2023**| https://datos.gob.es/es/catalogo/l01280148-publicaciones-boe-2023\n",
    "\n",
    "On the one hand, to reuse the *European Legal Knowledge Graph* resource it is not necessary to download anything, just use federated SPARQL queries to access its data. This is explored in more detail in the *Querying the graph* section. Anyway, for more information check the [documentation](https://www.w3.org/TR/sparql11-federated-query/).\n",
    "\n",
    "On the other hand, to exploit the open data of Arganda del Rey city council, we will follow the steps below. It is mandatory to download the package [PyMuPDF](https://pypi.org/project/PyMuPDF/) to read the content of the legislation in pdf format. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8a824cf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T16:57:46.910250Z",
     "start_time": "2024-02-06T16:57:46.234081Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# Dataset downloading\n",
    "import requests\n",
    "import os \n",
    "\n",
    "## Generate folders where data will be stored\n",
    "if not os.path.exists(\"data\"): os.mkdir(\"data\")\n",
    "if not os.path.exists(\"data/aux\"): os.mkdir(\"data/aux\")\n",
    "\n",
    "## Downloading and storage of the dataset\n",
    "response = requests.get(\"https://datosabiertos.ayto-arganda.es/dataset/e519f1ba-8dfd-41b0-bda0-5b6660dbdda7/resource/99282a1a-8eaf-41dd-8cf4-cef6f930b0a3/download/publicaciones1985_2023.csv\")\n",
    "open(\"data/arganda.csv\", \"w\").write(response.content.decode('utf-8-sig'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "788e702f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T16:58:40.092250Z",
     "start_time": "2024-02-06T16:57:46.915631Z"
    },
    "code_folding": [
     21,
     71
    ],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# Dataset loading and enriching\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "import fitz \n",
    "import numpy as np\n",
    "import os\n",
    "import requests\n",
    "import xml.etree.ElementTree as ET\n",
    "\n",
    "## Set filenames (WITHOUT extension)\n",
    "filename_legislations= \"data/legislation\"\n",
    "\n",
    "## Limit to avoid overloading the graph database due to excessive volume of data sets.\n",
    "limit=4000 #If you do not want limit set as None\n",
    "\n",
    "## Dataset loading\n",
    "df_arganda_legislation= pd.read_csv(\"data/arganda.csv\", sep=';', on_bad_lines='skip')[:limit]\n",
    "\n",
    "## Extracting the content of the pdf links\n",
    "content= []\n",
    "\n",
    "for index, link in enumerate(df_arganda_legislation[\"Hipervinculo\"]):\n",
    "    filename_aux= f\"data/aux/{link.split('/')[-1].split('.pdf')[0]}.pdf\"\n",
    "    \n",
    "    if not os.path.isfile(filename_aux):\n",
    "        #Download the file\n",
    "        headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36'}\n",
    "        try:\n",
    "            response = requests.get(link, headers=headers)\n",
    "            if response.status_code == 200:\n",
    "                open(filename_aux, \"wb\").write(response.content)\n",
    "            else:\n",
    "                open(filename_aux, \"w\").write(\"\")\n",
    "        except:\n",
    "            open(filename_aux, \"w\").write(\"\")\n",
    "    try:  \n",
    "        with fitz.open(filename_aux) as doc:\n",
    "            global_text = []\n",
    "            doc_content= \"\"\n",
    "            for pagenumber, page in enumerate(doc):\n",
    "                doc_content+= page.get_text()\n",
    "            content.append(doc_content.replace(\"\\\"\", \"\\'\")) #Is important to remove because otherwhise will generate malformed csv\n",
    "    except:\n",
    "        content.append(\"\")\n",
    "\n",
    "## Manual entity linking\n",
    "publishers= {\"BOE\": \"http://www.wikidata.org/entity/Q5659724\", \"BOC\": \"http://www.wikidata.org/entity/Q578788\"}\n",
    "audiences=  {\"BOE\": \"http://www.wikidata.org/entity/Q29\", \"BOC\": \"http://www.wikidata.org/entity/Q5756\"}\n",
    "\n",
    "## Dataset cleaning and enriching\n",
    "df_arganda_legislation[\"content\"]= content\n",
    "df_arganda_legislation.rename(columns = {'Hipervinculo':'source'}, inplace = True) \n",
    "df_arganda_legislation.rename(columns = {'Fecha':'date'}, inplace = True) \n",
    "df_arganda_legislation.rename(columns = {'Materia':'topic'}, inplace = True) \n",
    "df_arganda_legislation.rename(columns = {'Descripcion':'description'}, inplace = True) \n",
    "df_arganda_legislation.rename(columns = {'Año':'year'}, inplace = True) \n",
    "df_arganda_legislation[\"publisher\"] = [publishers[x] for x in df_arganda_legislation[\"Boletín\"]]\n",
    "df_arganda_legislation[\"audience\"]= [audiences[x] for x in df_arganda_legislation[\"Boletín\"]]\n",
    "df_arganda_legislation[\"date\"]= [str(datetime.strptime(row, \"%Y-%m-%d\").isoformat()) for row in df_arganda_legislation[\"date\"]]\n",
    "df_arganda_legislation[\"language\"]=[\"http://id.loc.gov/vocabulary/iso639-2/spa\" for x in range(df_arganda_legislation.shape[0])]\n",
    "df_arganda_legislation[\"creator\"]=[\"http://www.wikidata.org/entity/Q60052813\" for x in range(df_arganda_legislation.shape[0])]\n",
    "df_arganda_legislation[\"jurisdiction\"]=[\"ES-MA\" for x in range(df_arganda_legislation.shape[0])]\n",
    "df_arganda_legislation[\"title\"]=[\" \" for x in range(df_arganda_legislation.shape[0])]\n",
    "df_arganda_legislation[\"word_count\"]= [len(x.split()) for x in df_arganda_legislation[\"content\"]]\n",
    "\n",
    "## Extracting and generating legislative document identifiers\n",
    "parents_links=  []\n",
    "parent_ids=  []\n",
    "parent_pdfs= []\n",
    "ids= []\n",
    "\n",
    "for x in range(df_arganda_legislation.shape[0]):\n",
    "\n",
    "    if df_arganda_legislation[\"Boletín\"][x]==\"BOE\":\n",
    "        link_pdf= f\"https://www.boe.es/boe/dias/{df_arganda_legislation['date'][x].replace('-','/')}/pdfs/BOE-S-{df_arganda_legislation['date'][x].split('-')[0]}-{df_arganda_legislation['Numero Boletin'][x]}.pdf\"\n",
    "        parent_pdfs.append(link_pdf)\n",
    "        \n",
    "        parent_id= f\"BOE-S-{df_arganda_legislation['year'][x]}-{df_arganda_legislation['Numero Boletín'][x]}\"\n",
    "        parent_ids.append(parent_id)\n",
    "\n",
    "        link_xml= f\"https://www.boe.es/diario_boe/xml.php?id={parent_id}\"\n",
    "        xmlstring= requests.get(link_xml).content.decode(\"utf-8\")\n",
    "        tree = ET.ElementTree(ET.fromstring(xmlstring))\n",
    "        \n",
    "        parent_map = {c: p for p in tree.iter() for c in p}\n",
    "        found= False\n",
    "        for idx, c in enumerate(tree.findall(\".//titulo\")):\n",
    "            if c.text == df_arganda_legislation[\"description\"][x]:\n",
    "                found= True\n",
    "                break\n",
    "        if found: \n",
    "            identifier= parent_map[c].attrib['id']\n",
    "        else:\n",
    "            e= 1\n",
    "            while True:\n",
    "                _id= f\"{parent_id}-{e}\"\n",
    "                if _id not in ids:\n",
    "                    identifier= _id\n",
    "                    break\n",
    "                else:\n",
    "                    e+= 1\n",
    "        ids.append(identifier)\n",
    "\n",
    "        link_id=  f\"https://www.boe.es/diario_boe/txt.php?id={identifier}\"\n",
    "        parents_links.append(link_id)\n",
    "        \n",
    "    elif df_arganda_legislation[\"Boletín\"][x]==\"BOC\":\n",
    "        \n",
    "        link_pdf= f\"https://www.bocm.es/boletin/CM_Boletin_BOCM/{df_arganda_legislation['date'][x].replace('-','/')}/{str(df_arganda_legislation['Numero Boletín'][x]).zfill(3)}00.pdf\"\n",
    "        parent_pdfs.append(link_pdf)\n",
    "        \n",
    "        link_id= f\"https://www.bocm.es/boletin-completo/bocm-{df_arganda_legislation['date'][x].replace('-','')}/{df_arganda_legislation['Numero Boletín'][x]}/\"\n",
    "        parents_links.append(link_id)\n",
    "        parent_id= f\"BOCM-{df_arganda_legislation['date'][x].replace('-','')}-{df_arganda_legislation['Numero Boletín'][x]}\"\n",
    "        parent_ids.append(parent_id)\n",
    "        \n",
    "        # We generate child ids because they are not defined by the CAM\n",
    "        e= 1\n",
    "        while True:\n",
    "            child_id = f\"{parent_id}-{e}\"\n",
    "            if child_id not in ids:\n",
    "                ids.append(child_id)\n",
    "                break\n",
    "            else:\n",
    "                e +=1\n",
    "\n",
    "df_arganda_legislation[\"id\"]= ids\n",
    "df_arganda_legislation[\"parent_id\"]= parent_ids\n",
    "df_arganda_legislation[\"parent_source\"]= parents_links\n",
    "\n",
    "## Remove unused columns\n",
    "df_arganda_legislation.drop(['Numero Boletín'], axis=1, inplace=True)\n",
    "df_arganda_legislation.drop(['Pagina'], axis=1, inplace=True)\n",
    "df_arganda_legislation.drop(['Boletín'], axis=1, inplace=True)\n",
    "df_arganda_legislation.drop(['year'], axis=1, inplace=True)\n",
    "\n",
    "## Export the data to csv\n",
    "df_arganda_legislation.to_csv(f\"{filename_legislations}.csv\", sep=',', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "427e5506",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T17:03:18.507522Z",
     "start_time": "2024-02-06T16:58:40.093776Z"
    },
    "code_folding": [
     9,
     32,
     35
    ],
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Approved Policies Discourse Triples Generated\n"
     ]
    }
   ],
   "source": [
    "# Generate the data mapping file to transform the above data into triples\n",
    "import os\n",
    "\n",
    "## Set filenames (WITHOUT extension)\n",
    "filename_mappings= \"mappings/mappings_legislation\"\n",
    "if not os.path.exists(\"mappings\"): os.mkdir(\"mappings\")\n",
    "\n",
    "## Generate mapping file according to the previous dataset\n",
    "mapping= f\"\"\"\n",
    "prefixes:\n",
    "    #Core imports\n",
    "    rdf: \"http://www.w3.org/1999/02/22-rdf-syntax-ns#\"\n",
    "    rdfs: \"http://www.w3.org/2000/01/rdf-schema#\"\n",
    "    xsd: \"http://www.w3.org/2001/XMLSchema#\"\n",
    "    xml: \"http://www.w3.org/XML/1998/namespace\"\n",
    "    #Vocabulary imports\n",
    "    schema: \"http://schema.org/\"\n",
    "    terms: \"http://purl.org/dc/terms/\"\n",
    "    dc: \"http://purl.org/dc/elements/1.1/\"\n",
    "    dcam: \"http://purl.org/dc/dcam/\"\n",
    "    vann: \"http://purl.org/vocab/vann/\"\n",
    "    skos: \"http://www.w3.org/2004/02/skos/core#\"\n",
    "    #Ontology imports\n",
    "    owl: \"http://www.w3.org/2002/07/owl#\"\n",
    "    foaf: \"http://xmlns.com/foaf/0.1/\"\n",
    "    sioc: \"http://rdfs.org/sioc/ns#\"\n",
    "    lkg: \"http://lkg.lynx-project.eu/def/\"\n",
    "    nif: \"http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#\"\n",
    "    eli: \"http://data.europa.eu/eli/ontology#\"\n",
    "    #Knowledge graph domain declaration\n",
    "    podio: \"http://w3id.org/podio#\" # URL to ontoology\n",
    "\n",
    "sources:\n",
    "    data: [{filename_legislations}.csv~csv ]\n",
    "       \n",
    "mappings:\n",
    "    ApprovedPolicy:\n",
    "        sources:\n",
    "          - data\n",
    "        s: podio:ApprovedPolicy/$(id)\n",
    "        po:\n",
    "          - [a, podio:ApprovedPolicy]\n",
    "          - [lkg:metadata, podio:ApprovedPolicy/$(id)/Metadata~iri]\n",
    "          - [eli:is_part_of, podio:ApprovedPolicy/$(parent_id)~iri]\n",
    "          - [podio:content, $(content), xsd:string]\n",
    "          - [terms:language, $(language)~iri]\n",
    "          - [terms:created, $(date), xsd:dateTime]\n",
    "          - [terms:description, $(description), xsd:string]\n",
    "          - [terms:source, $(source)~iri]\n",
    "          - [terms:identifier, $(id), xsd:int]\n",
    "          - [schema:wordCount, $(word_count), xsd:int]\n",
    "          - [terms:audience, $(audience)~iri]\n",
    "          - [terms:publisher, $(publisher)~iri]\n",
    "          - [terms:creator, $(creator)~iri]\n",
    "\n",
    "    ParentPolicy:\n",
    "        sources:\n",
    "          - data\n",
    "        s: podio:ApprovedPolicy/$(parent_id)\n",
    "        po:\n",
    "          - [a, podio:ApprovedPolicy]\n",
    "          - [eli:has_part, podio:ApprovedPolicy/$(id)~iri]\n",
    "          - [terms:language, $(language)~iri]\n",
    "          - [terms:source, $(parent_source)~iri]\n",
    "          - [terms:identifier, $(parent_id), xsd:int]\n",
    "          - [terms:created, $(date), xsd:dateTime]\n",
    "          - [terms:audience, $(audience)~iri]\n",
    "          - [terms:publisher, $(publisher)~iri]\n",
    "          - [terms:creator, $(publisher)~iri]\n",
    "       \n",
    "    Metadata:\n",
    "        sources:\n",
    "          - data\n",
    "        s: podio:ApprovedPolicy/$(id)/Metadata\n",
    "        po:\n",
    "          - [a, podio:ApprovedPolicy]\n",
    "          - [terms:language, $(language)~iri]\n",
    "          - [lkg:hasPDF, $(source)~iri]\n",
    "          - [terms:source, $(parent_source)~iri]\n",
    "          - [eli:version_date, $(date), xsd:dateTime]\n",
    "          - [eli:id_local, $(id), xsd:string]\n",
    "          - [lkg:summary, $(description), xsd:string]\n",
    "          - [terms:subject, $(topic), xsd:string]\n",
    "          - [terms:title, $(title), xsd:string]\n",
    "          - [lkg:hasAuthority, $(publisher)~iri]\n",
    "          - [eli:jurisdiction, $(jurisdiction), xsd:string]\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "## Save mappings file\n",
    "with open(f\"{filename_mappings}.yml\", \"w\") as f:\n",
    "    f.write(mapping)\n",
    "\n",
    "## Generate the triples\n",
    "generate_triples(filename_mappings)\n",
    "\n",
    "print(\"Approved Policies Discourse Triples Generated\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8422c3a9",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### Other Discourses"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fa08c9c",
   "metadata": {
    "hidden": true
   },
   "source": [
    "There are also other types of discourses, such as those made in Spain by the head of the state at Christmas. These speeches are expository and are broadcast on television on Christmas Eve. We found the following resource that collects the different ones: \n",
    "\n",
    "Description|Dataset\n",
    "---|---\n",
    "**Spanish head of state speeches** | Elena Álvarez-Mellado. 2020. A Corpus of Spanish Political Speeches from 1937 to 2019. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 928–932, Marseille, France. European Language Resources Association.\n",
    "\n",
    "To work with this resource it is necessary to install the [git](https://gitpython.readthedocs.io/en/stable/intro.html) package in python (or skip the step and do it manually)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ec1d83be",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T17:03:18.673083Z",
     "start_time": "2024-02-06T17:03:18.509330Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "from git import Repo  # pip install gitpython\n",
    "\n",
    "## Set filenames (WITHOUT extension)\n",
    "repo_dir= \"data/aux/discursos-de-navidad\"\n",
    "\n",
    "## Cloning repository\n",
    "Repo.clone_from(\"https://github.com/lirondos/discursos-de-navidad.git\", repo_dir)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "025072d6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T17:03:28.314326Z",
     "start_time": "2024-02-06T17:03:28.250292Z"
    },
    "code_folding": [
     20
    ],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "#Dataset loading, cleaning, enriching and storage \n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "\n",
    "## Set filenames (WITHOUT extension)\n",
    "repo_dir= \"data/aux/discursos-de-navidad\"\n",
    "filename_discursos= \"data/discursos_navidad\"\n",
    "\n",
    "## Limit to avoid overloading the graph database due to excessive volume of data sets.\n",
    "limit=4000 #If you do not want limit set as None else, an int\n",
    "\n",
    "## Dataset loading\n",
    "discursos_navidad= pd.read_csv(f\"{repo_dir}/data/metadata.csv\", sep=',', on_bad_lines='skip')[:limit]\n",
    "\n",
    "## Manual entity linking\n",
    "head_of_state = {\"Felipe de Borbón\": \"http://www.wikidata.org/entity/Q191045\", \n",
    "                 \"Juan Carlos de Borbón\": \"http://www.wikidata.org/entity/Q19943\", \n",
    "                 \"Francisco Franco\": \"http://www.wikidata.org/entity/Q29179\"}\n",
    "\n",
    "ideologies = {  \"Felipe de Borbón\": \"\", \n",
    "                \"Juan Carlos de Borbón\": \"\", \n",
    "                \"Francisco Franco\": \"http://www.wikidata.org/entity/Q210890\"}\n",
    "\n",
    "\n",
    "## Dataset cleaning and enriching\n",
    "discursos_navidad.rename(columns = {'url_text':'source'}, inplace = True) \n",
    "discursos_navidad.rename(columns = {'head_of_state':'creator'}, inplace = True) \n",
    "discursos_navidad[\"ideology\"]= [ideologies[x] for x in discursos_navidad[\"creator\"]]\n",
    "discursos_navidad[\"creator\"]= [head_of_state[x] for x in discursos_navidad[\"creator\"]]\n",
    "discursos_navidad[\"target\"]= [\"http://www.wikidata.org/entity/Q29\" for x in range(discursos_navidad.shape[0])]\n",
    "discursos_navidad[\"language\"]=[\"http://id.loc.gov/vocabulary/iso639-2/spa\" for x in range(discursos_navidad.shape[0])]\n",
    "discursos_navidad[\"id\"]=[f\"{x}-spa-christmas\" for x in discursos_navidad[\"year\"]]\n",
    "discursos_navidad.rename(columns = {'year':'date'}, inplace = True) \n",
    "discursos_navidad[\"date\"]= [f\"{x}-12-24T21:00:00\" for x in discursos_navidad[\"date\"]]\n",
    "\n",
    "## Read discourse files content and add to the dataset\n",
    "contents= []\n",
    "for file_name in discursos_navidad[\"file_name\"]:\n",
    "    with open(f\"{repo_dir}/data/speeches/{file_name}\", \"r\") as f:\n",
    "        contents.append(f.read())\n",
    "discursos_navidad[\"content\"]= contents\n",
    "discursos_navidad[\"word_count\"]= [len(x.split()) for x in discursos_navidad[\"content\"]]\n",
    "discursos_navidad.drop(['file_name'], axis=1, inplace=True)\n",
    "\n",
    "## Save dataset to file\n",
    "discursos_navidad.to_csv(f\"{filename_discursos}.csv\", sep=',', index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "d5ac6f86",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T17:03:31.975300Z",
     "start_time": "2024-02-06T17:03:29.104828Z"
    },
    "code_folding": [
     9
    ],
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Expository Discourse Triples Generated\n"
     ]
    }
   ],
   "source": [
    "# Generate the data mapping file to transform the above data into triples\n",
    "import os\n",
    "\n",
    "## Set filenames (WITHOUT extension)\n",
    "filename_mappings= \"mappings/mappings_discursos_navidad\"\n",
    "if not os.path.exists(\"mappings\"): os.mkdir(\"mappings\")\n",
    "\n",
    "## Generate mapping file according to the JSONs and dataset\n",
    "mapping= f\"\"\"\n",
    "prefixes:\n",
    "    #Core imports\n",
    "    rdf: \"http://www.w3.org/1999/02/22-rdf-syntax-ns#\"\n",
    "    rdfs: \"http://www.w3.org/2000/01/rdf-schema#\"\n",
    "    xsd: \"http://www.w3.org/2001/XMLSchema#\"\n",
    "    xml: \"http://www.w3.org/XML/1998/namespace\"\n",
    "    #Vocabulary imports\n",
    "    schema: \"http://schema.org/\"\n",
    "    terms: \"http://purl.org/dc/terms/\"\n",
    "    dc: \"http://purl.org/dc/elements/1.1/\"\n",
    "    dcam: \"http://purl.org/dc/dcam/\"\n",
    "    vann: \"http://purl.org/vocab/vann/\"\n",
    "    skos: \"http://www.w3.org/2004/02/skos/core#\"\n",
    "    #Ontology imports\n",
    "    owl: \"http://www.w3.org/2002/07/owl#\"\n",
    "    foaf: \"http://xmlns.com/foaf/0.1/\"\n",
    "    sioc: \"http://rdfs.org/sioc/ns#\"\n",
    "    lkg: \"http://lkg.lynx-project.eu/def/\"\n",
    "    nif: \"http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#\"\n",
    "    eli: \"http://data.europa.eu/eli/ontology#\"\n",
    "    #Knowledge graph domain declaration\n",
    "    podio: \"http://w3id.org/podio#\" # URL to ontoology\n",
    "\n",
    "sources:\n",
    "    data: [{filename_discursos}.csv~csv ]\n",
    "\n",
    "mappings:\n",
    "    Expository:\n",
    "        sources:\n",
    "          - data\n",
    "        s: podio:Expository/$(id)\n",
    "        po:\n",
    "          - [a, podio:Expository]\n",
    "          - [terms:identifier, $(id), xsd:int]\n",
    "          - [podio:content, $(content), xsd:string]\n",
    "          - [terms:language, $(language)~iri]\n",
    "          - [terms:created, $(date), xsd:dateTime]\n",
    "          - [terms:source, $(source)~iri]\n",
    "          - [schema:wordCount, $(word_count), xsd:int]\n",
    "          - [podio:hasTarget, $(target)~iri]\n",
    "          - [podio:ideology, $(ideology)~iri]\n",
    "          - [terms:creator, $(creator)~iri]\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "## Save mappings file\n",
    "with open(f\"{filename_mappings}.yml\", \"w\") as f:\n",
    "    f.write(mapping)\n",
    "\n",
    "## Generate the triples\n",
    "\n",
    "generate_triples(filename_mappings)\n",
    "\n",
    "print(\"Expository Discourse Triples Generated\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "449d388a",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### Additional Triples"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa22b803",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Here we generate transversal triples for the correct functioning of the network. Among the triplets we create are those defining some agents as political parties, "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ed67a59b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T17:04:10.606120Z",
     "start_time": "2024-02-06T17:04:10.601820Z"
    },
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extra triples generated\n"
     ]
    }
   ],
   "source": [
    "# Generate the extra triples \n",
    "import os\n",
    "\n",
    "## Set filenames (WITHOUT extension)\n",
    "filename_extra= \"mappings/extra_triples\"\n",
    "if not os.path.exists(\"mappings\"): os.mkdir(\"mappings\")\n",
    "\n",
    "    \n",
    "wikidata_id= { \n",
    "            \"http://www.wikidata.org/entity/Q623740\": \"Q623740\",\n",
    "            \"http://www.wikidata.org/entity/Q1393123\": \"Q1393123\",\n",
    "            \"http://www.wikidata.org/entity/Q138198\": \"Q138198\",\n",
    "            \"http://www.wikidata.org/entity/Q185088\": \"Q185088\",\n",
    "            \"http://www.wikidata.org/entity/Q16059622\": \"Q16059622\",\n",
    "            \"http://www.wikidata.org/entity/Q15630787\": \"Q15630787\",\n",
    "            \"http://www.wikidata.org/entity/Q29552\": \"Q29552\",\n",
    "            \"http://www.wikidata.org/entity/Q29468\": \"Q29468\",\n",
    "            \"http://www.wikidata.org/entity/Q22686\": \"Q22686\",\n",
    "            \"http://www.wikidata.org/entity/Q6279\": \"Q6279\",\n",
    "            \"http://www.wikidata.org/entity/Q191045\": \"Q191045\",\n",
    "            \"http://www.wikidata.org/entity/Q19943\": \"Q19943\",\n",
    "            \"http://www.wikidata.org/entity/Q29179\": \"Q29179\",\n",
    "            \"http://www.wikidata.org/entity/Q60052813\": \"Q60052813\"\n",
    "    \n",
    "}\n",
    "\n",
    "\n",
    "trip= \"\"\n",
    "for key, value in wikidata_id.items():\n",
    "    trip += f'<{key}> <http://purl.org/dc/terms/identifier> \"{value}\".\\n'\n",
    "\n",
    "\n",
    "with open(f\"{filename_extra}.nt\", \"w\") as f:\n",
    "    f.write(trip)\n",
    "\n",
    "print(\"Extra triples generated\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4846f258",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### Summary"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51a8ba40",
   "metadata": {
    "hidden": true
   },
   "source": [
    "In this section we downloaded different datasets available on the internet on political discourse from different countries. We cleaned, enriched, merged and mapped them to the ontology to generate the triplets. We set a limit of the first 4000 entries for each dataset in order to make the database solve queries faster. However, this notebook can be used to load more datasets without any limit. The triples that we generated, and to which we are going to make queries are:\n",
    "\n",
    "Categories | Triples\n",
    "--- | ---\n",
    "Party Manifestos and Political Proposals | 19.390\n",
    "Social Media Posts | 446.346\n",
    "Approved Policies | 127.838\n",
    "Other Discoueses | 743\n",
    "Additional triples | 14\n",
    "**Total** | **549.321**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a34256c",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Querying the graph"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4cbc1f84",
   "metadata": {
    "hidden": true
   },
   "source": [
    "To execute the queries we used the python package [SPARQLWrapper](https://pypi.org/project/SPARQLWrapper/). The endpoint we use is the one associated to https://w3id.org/podio/sparql, although you are free to use another one and replicate or expand the previous processes. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "cc939de1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T14:05:45.176985Z",
     "start_time": "2024-02-06T14:05:45.172872Z"
    },
    "code_folding": [],
    "hidden": true,
    "hide_input": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#Default endpoint configuration to run SPARQL queries\n",
    "from SPARQLWrapper import SPARQLWrapper, JSON, CSV\n",
    "import pandas as pd\n",
    "from io import StringIO\n",
    "from IPython.display import display, HTML\n",
    "\n",
    "sparql = SPARQLWrapper(\"https://graphdb.linkeddata.es/repositories/podio\")\n",
    "sparql.setReturnFormat(CSV)\n",
    "\n",
    "\n",
    "\n",
    "def run_query(query):\n",
    "    sparql.setQuery(query)\n",
    "    try:\n",
    "        results = sparql.queryAndConvert()\n",
    "        decode_results= results.decode(encoding='utf-8', errors='strict')\n",
    "        df = pd.read_csv(StringIO(decode_results), sep=\",\")\n",
    "        display(HTML(df.to_html()))\n",
    "    except Exception as e:\n",
    "        print(e)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d30b3600",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### CQ1: What are the names of all political parties (in Spanish and English), when were they created and what is their ideology?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "250dc2b3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T16:06:47.306125Z",
     "start_time": "2024-02-06T16:06:44.547887Z"
    },
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PoliticalPartyEN</th>\n",
       "      <th>PoliticalPartyES</th>\n",
       "      <th>creationDate</th>\n",
       "      <th>ideologyLabel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ciudadanos</td>\n",
       "      <td>Ciudadanos</td>\n",
       "      <td>2006-03-04T00:00:00Z</td>\n",
       "      <td>centrism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Democratic Party</td>\n",
       "      <td>Partido Demócrata</td>\n",
       "      <td>1828-01-08T00:00:00Z</td>\n",
       "      <td>centrism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>People's Party</td>\n",
       "      <td>Partido Popular</td>\n",
       "      <td>1989-01-20T00:00:00Z</td>\n",
       "      <td>right-wing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Podemos</td>\n",
       "      <td>Podemos</td>\n",
       "      <td>2014-03-11T00:00:00Z</td>\n",
       "      <td>left-wing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Republican Party</td>\n",
       "      <td>Partido Republicano</td>\n",
       "      <td>1854-03-20T00:00:00Z</td>\n",
       "      <td>right-wing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Spanish Socialist Workers' Party</td>\n",
       "      <td>Partido Socialista Obrero Español</td>\n",
       "      <td>1879-05-02T00:00:00Z</td>\n",
       "      <td>centre-left</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Vox</td>\n",
       "      <td>Vox</td>\n",
       "      <td>2013-12-14T00:00:00Z</td>\n",
       "      <td>right-wing</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "\n",
    "select (SAMPLE(?nameEN) as ?PoliticalPartyEN) (SAMPLE(?nameES) as ?PoliticalPartyES) (SAMPLE(?creation) as ?creationDate) (SAMPLE(?ideologyLabel) as ?ideologyLabel) \n",
    "where { \n",
    "\n",
    "    ?s a foaf:Agent. \n",
    "\n",
    "    # Query Wikidata using federation\n",
    "    SERVICE <https://query.wikidata.org/sparql> {\n",
    "      ?s  rdfs:label ?nameEN;\n",
    "          rdfs:label ?nameES;\n",
    "          wdt:P31/wdt:P279* wd:Q7278; # instance of Political Party\n",
    "          wdt:P571 ?creation;         # date of creation\n",
    "          wdt:P1387 ?ideology.        # ideological alignment\n",
    "      FILTER(LANGMATCHES(LANG(?nameEN), \"en\")). # Name in english\n",
    "      FILTER(LANGMATCHES(LANG(?nameES), \"es\")). # Name in spanish\n",
    "\n",
    "      ?ideology rdfs:label ?ideologyLabel.\n",
    "      FILTER(LANGMATCHES(LANG(?ideologyLabel), \"en\")). # Ideology in english\n",
    "    }\n",
    "} group by ?s\n",
    "order by asc(UCASE(str(?PoliticalPartyEN)))\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5058fe5f",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### CQ2: Which social media accounts does the PP have?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "53d1d027",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T16:06:29.421807Z",
     "start_time": "2024-02-05T16:06:29.388101Z"
    },
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>socialMediaUserName</th>\n",
       "      <th>socialMedia</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>pp</td>\n",
       "      <td>https://twitter.com/</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PartidoPopular</td>\n",
       "      <td>https://facebook.com/</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select ?socialMediaUserName ?socialMedia where { \n",
    "    wd:Q185088 foaf:holdsAccount ?accounts .\n",
    "    ?accounts foaf:accountServiceHomepage ?socialMedia;\n",
    "              foaf:accountName ?socialMediaUserName.\n",
    "} \n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "025c2929",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### CQ3: How many posts have political parties published on each of their social media accounts?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "7a267a58",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T16:10:08.850489Z",
     "start_time": "2024-02-06T16:10:03.989746Z"
    },
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PoliticalParty</th>\n",
       "      <th>socialMedia</th>\n",
       "      <th>accountName</th>\n",
       "      <th>numberOfpost</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ciudadanos</td>\n",
       "      <td>https://twitter.com/</td>\n",
       "      <td>ciudadanos</td>\n",
       "      <td>960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ciudadanos</td>\n",
       "      <td>https://facebook.com/</td>\n",
       "      <td>Ciudadanos</td>\n",
       "      <td>391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Spanish Socialist Workers' Party</td>\n",
       "      <td>https://twitter.com/</td>\n",
       "      <td>psoe</td>\n",
       "      <td>1063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>People's Party</td>\n",
       "      <td>https://twitter.com/</td>\n",
       "      <td>pp</td>\n",
       "      <td>944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>People's Party</td>\n",
       "      <td>https://facebook.com/</td>\n",
       "      <td>PartidoPopular</td>\n",
       "      <td>3609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Podemos</td>\n",
       "      <td>https://twitter.com/</td>\n",
       "      <td>podemos</td>\n",
       "      <td>908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Vox</td>\n",
       "      <td>https://twitter.com/</td>\n",
       "      <td>vox</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "\n",
    "select (SAMPLE(?name) AS ?PoliticalParty) ?socialMedia (?accname AS ?accountName) (COUNT(DISTINCT(?discourse)) AS ?numberOfpost) \n",
    "where { \n",
    "    ?discourse a podio:Discourse;\n",
    "                    sioc:has_creator ?account.\n",
    "    ?s a foaf:Agent;\n",
    "        foaf:holdsAccount ?account .\n",
    "    ?account foaf:accountServiceHomepage ?socialMedia;\n",
    "                foaf:accountName ?accname.\n",
    "\n",
    "    # Query Wikidata using federation\n",
    "    SERVICE <https://query.wikidata.org/sparql> {\n",
    "        ?s rdfs:label ?name;\n",
    "                    wdt:P31/wdt:P279* wd:Q7278.\n",
    "        FILTER(LANGMATCHES(LANG(?name), \"en\")).\n",
    "    }\n",
    "}  group by ?socialMedia ?accname\n",
    "order by asc(UCASE(str(?name)))\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75c9eea2",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### CQ4: Which account and on which social media network is the most mentioned by each politician and political party?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "86a96a91",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T14:07:14.006517Z",
     "start_time": "2024-02-06T14:07:12.214027Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "\n",
    "SELECT (SAMPLE(?name) as ?agentName) (SAMPLE(?socialMedia) as ?socialMedia) (SAMPLE(?mentioned_account) as ?maxMentionedAccount) (MAX(?count_mentions) as ?numberOfTimesMentioned) WHERE{\n",
    "    \n",
    "    SELECT DISTINCT ?pparty ?name ?socialMedia ?mentioned_account (COUNT (?tweet) as ?count_mentions)\n",
    "    WHERE {\n",
    "     ?tweet a podio:Discourse ;\n",
    "           sioc:mentions ?mentioned_account ;\n",
    "           podio:content ?tweet_text ;\n",
    "           sioc:has_creator ?account .\n",
    "       ?pparty foaf:holdsAccount ?account;\n",
    "               terms:identifier ?wikiId.\n",
    "        ?account foaf:accountServiceHomepage ?socialMedia.\n",
    "\n",
    "        BIND(IRI(CONCAT(\"http://www.wikidata.org/entity/\", str(?wikiId))) AS ?wikidataIri) .\n",
    "\n",
    "        # Query Wikidata using federation\n",
    "        SERVICE <https://query.wikidata.org/sparql> {\n",
    "          ?wikidataIri rdfs:label ?name.\n",
    "          FILTER(LANGMATCHES(LANG(?name), \"en\")).\n",
    "          SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }\n",
    "        }\n",
    "    } GROUP BY ?pparty ?mentioned_account ?name ?socialMedia\n",
    "    \n",
    "} group by ?pparty \n",
    "ORDER BY DESC(?mentions)\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d50426b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T15:03:05.467876Z",
     "start_time": "2024-02-06T15:03:05.464693Z"
    },
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### CQ5: What were the top 10 hashtags used in political speech during 2020?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36729a4b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T15:02:34.584683Z",
     "start_time": "2024-02-06T15:02:34.489026Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "\n",
    "\n",
    "Select ?hashtagName (MAX(?count) as ?usedTimes) where{\n",
    "    select ?hashtagName (count(distinct ?s) as ?count) where {\n",
    "        ?s a podio:Discourse;\n",
    "             podio:content ?text;\n",
    "             terms:creator ?authAcc;\n",
    "             sioc:has_container ?container;\n",
    "             terms:created ?date .\n",
    "        ?container a podio:Hashtag;\n",
    "                terms:identifier ?hashtagName.\n",
    "\n",
    "        \n",
    "    FILTER(year(?date) = 2020)\n",
    "    } GROUP BY ?hashtagName \n",
    "\n",
    "} group by ?authAcc ?hashtagName\n",
    "Order BY desc (?usedTimes) LIMIT 10\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3212419c",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### CQ6: Which political party has generated the most speeches?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ccf644f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T09:07:00.394957Z",
     "start_time": "2024-02-06T09:06:58.301208Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select (?name as ?PoliticalParty) ?numberOfDiscourses where { \n",
    "\n",
    "    select ?s\n",
    "        (SAMPLE(?name) AS ?name)\n",
    "        (COUNT(DISTINCT(?discourse)) AS ?numberOfDiscourses) \n",
    "    where { \n",
    "        ?discourse a podio:Discourse;\n",
    "                terms:creator ?s.\n",
    "        ?s a foaf:Agent;\n",
    "                terms:identifier ?ids.\n",
    "        \n",
    "        BIND(IRI(CONCAT(\"http://www.wikidata.org/entity/\", str(?ids))) AS ?wikidataIri) .\n",
    "\n",
    "        # Query Wikidata using federation\n",
    "        SERVICE <https://query.wikidata.org/sparql> {\n",
    "          ?wikidataIri rdfs:label ?name;\n",
    "                       wdt:P31/wdt:P279* wd:Q7278.\n",
    "          FILTER(LANGMATCHES(LANG(?name), \"en\")).\n",
    "          SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }\n",
    "        }\n",
    "    }  group by ?s\n",
    "}ORDER BY DESC(?numberOfDiscourses)\n",
    "LIMIT 1\n",
    "\"\"\"\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59605058",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "###  CQ7: How many references to the LGTBI community have been made in each year's political speeches by the different political agents?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "e5442aab",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T14:32:10.374675Z",
     "start_time": "2024-02-06T14:32:06.275746Z"
    },
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<urlopen error [Errno -3] Temporary failure in name resolution>\n"
     ]
    }
   ],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select (SAMPLE(?name) as ?name) ?timeslice (count(distinct ?s) as ?count) where {\n",
    "    ?s a podio:Discourse;\n",
    "         podio:content ?text;\n",
    "         terms:creator ?auth;\n",
    "         terms:created ?date .\n",
    "    BIND(year(?date) as ?timeslice) .\n",
    "    filter contains(lcase(str(?text)),\"lgtbi\")\n",
    "    \n",
    "    ?auth terms:identifier ?ids.\n",
    "    BIND(IRI(CONCAT(\"http://www.wikidata.org/entity/\", str(?ids))) AS ?wikidataIri) .\n",
    "\n",
    "    SERVICE <https://query.wikidata.org/sparql> {\n",
    "                ?wikidataIri rdfs:label ?name.\n",
    "                FILTER(LANGMATCHES(LANG(?name), \"en\")).\n",
    "                SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }\n",
    "            }\n",
    "    \n",
    "    } GROUP BY ?timeslice ?auth\n",
    "ORDER BY DESC (?count)\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44686cf8",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### CQ8: What were the five most shared speeches?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "bd5155ad",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>numberOfTimeShared</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I can’t believe I have to say this, but please don’t drink bleach.</td>\n",
       "      <td>326070.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I have the great honor to announce that I’ve picked @KamalaHarris — a fearless fighter for the little guy, and one of the country’s finest public servants — as my running mate.</td>\n",
       "      <td>167176.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>When Donald Trump says tonight you won’t be safe in Joe Biden’s America, look around and ask yourself: How safe do you feel in Donald Trump’s America?</td>\n",
       "      <td>108691.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I have never seen a thin person drinking Diet Coke.</td>\n",
       "      <td>106213.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mr. President, if you don’t respect our troops, you can’t lead them. https://t.co/hcX9hGgdm5</td>\n",
       "      <td>91409.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select ?text (?int as ?numberOfTimeShared) where { \n",
    "    ?s a podio:Discourse;\n",
    "        schema:interactionStatistic ?stats;\n",
    "        terms:creator ?auth;\n",
    "        podio:content ?text.\n",
    "    \n",
    "    ?stats schema:interactionType schema:ShareAction;\n",
    "           schema:userInteractionCount ?number.\n",
    "\n",
    "    BIND( abs(xsd:float(?number)) as ?int)\n",
    "} \n",
    "ORDER BY DESC (?int)\n",
    "LIMIT 5\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2ef6523",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### CQ9:What are the ten authorities that have approved the most legislations?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "fabcbff8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T11:59:57.197182Z",
     "start_time": "2024-02-06T11:59:41.028911Z"
    },
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>jurisdiction</th>\n",
       "      <th>authority</th>\n",
       "      <th>numberOfLegislations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>http://www.wikidata.org/entity/Q578788</td>\n",
       "      <td>4625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ES</td>\n",
       "      <td>Jefatura del Estado</td>\n",
       "      <td>1132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ES</td>\n",
       "      <td>Ministerio de la Presidencia</td>\n",
       "      <td>268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AT</td>\n",
       "      <td>BKA (Bundeskanzleramt)</td>\n",
       "      <td>199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>http://www.wikidata.org/entity/Q5659724</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ES</td>\n",
       "      <td>Ministerio de Economía y Hacienda</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ES</td>\n",
       "      <td>Ministerio de Agricultura, Pesca y Alimentación</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ES</td>\n",
       "      <td>Banco de España</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ES</td>\n",
       "      <td>Ministerio de Sanidad y Consumo</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ES</td>\n",
       "      <td>Ministerio de Industria, Turismo y Comercio</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "\n",
    "SELECT ?jurisdiction (?auth as ?authority) (MAX(?numberOfLegislations) AS ?numberOfLegislations)\n",
    "WHERE {\n",
    "    SELECT (?juris as ?jurisdiction) ?auth (COUNT(DISTINCT(?id)) AS ?numberOfLegislations)\n",
    "    WHERE {\n",
    "        {\n",
    "            ?s a podio:ApprovedPolicy ;\n",
    "                podio:content ?s_text ;\n",
    "                lkg:metadata ?metadata .\n",
    "            ?metadata eli:jurisdiction ?juris ;\n",
    "                eli:version_date ?date ;\n",
    "                eli:id_local ?id ;\n",
    "                lkg:hasAuthority ?auth ;\n",
    "                terms:source ?source .\n",
    "                \n",
    "        }\n",
    "        UNION{\n",
    "            SERVICE <http://sparql.lynx-project.eu/> {\n",
    "                ?s a lkg:Legislation ;\n",
    "                    nif:isString ?s_text ;\n",
    "                    lkg:metadata ?metadata .\n",
    "                ?metadata eli:jurisdiction ?juris ;\n",
    "                    eli:version_date ?date ;\n",
    "                    eli:id_local ?id ;\n",
    "                    lkg:hasAuthority ?auth ;\n",
    "                    terms:source ?source .\n",
    "            }\n",
    "        }\n",
    "        BIND(year(?date) as ?year)\n",
    "    } group by ?juris ?auth\n",
    "    \n",
    "} group by ?jurisdiction ?auth\n",
    "ORDER BY DESC(?numberOfLegislations) Limit 10\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87c0d99d",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### CQ10: How much legislations are available for each jurisdiction and year?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9db23272",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:15:05.049922Z",
     "start_time": "2024-02-05T10:14:48.582259Z"
    },
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>jurisdiction</th>\n",
       "      <th>year</th>\n",
       "      <th>numberOfLegislations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1985</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1987</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1988</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1989</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1990</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1991</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1992</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1993</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1994</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1995</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1996</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1997</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1998</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1999</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2000</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2001</td>\n",
       "      <td>144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2002</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2003</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2004</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2005</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2006</td>\n",
       "      <td>224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2007</td>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2008</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2009</td>\n",
       "      <td>179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2010</td>\n",
       "      <td>236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2011</td>\n",
       "      <td>253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2012</td>\n",
       "      <td>256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>1986</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2013</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ES</td>\n",
       "      <td>1982</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>ES</td>\n",
       "      <td>1981</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>ES</td>\n",
       "      <td>1978</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>ES</td>\n",
       "      <td>1979</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>ES</td>\n",
       "      <td>1987</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>ES</td>\n",
       "      <td>1988</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>ES</td>\n",
       "      <td>1986</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>ES</td>\n",
       "      <td>1980</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>ES</td>\n",
       "      <td>2014</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>ES</td>\n",
       "      <td>2015</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>ES</td>\n",
       "      <td>2018</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>ES</td>\n",
       "      <td>2017</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>ES</td>\n",
       "      <td>2003</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>ES</td>\n",
       "      <td>2004</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>ES</td>\n",
       "      <td>2006</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>ES</td>\n",
       "      <td>1999</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>ES</td>\n",
       "      <td>1998</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>ES</td>\n",
       "      <td>2011</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>ES</td>\n",
       "      <td>2010</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>ES</td>\n",
       "      <td>2009</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>ES</td>\n",
       "      <td>2008</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>ES</td>\n",
       "      <td>2013</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>ES</td>\n",
       "      <td>2007</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>ES</td>\n",
       "      <td>2002</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>ES</td>\n",
       "      <td>2005</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>ES</td>\n",
       "      <td>1997</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>ES</td>\n",
       "      <td>1985</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>ES</td>\n",
       "      <td>1984</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>ES</td>\n",
       "      <td>1992</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>ES</td>\n",
       "      <td>1991</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>ES</td>\n",
       "      <td>1993</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>ES</td>\n",
       "      <td>1994</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>ES</td>\n",
       "      <td>1983</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>ES</td>\n",
       "      <td>1995</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>ES</td>\n",
       "      <td>1990</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>ES</td>\n",
       "      <td>2020</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>ES</td>\n",
       "      <td>2019</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>ES</td>\n",
       "      <td>2016</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>ES</td>\n",
       "      <td>1989</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>ES</td>\n",
       "      <td>1996</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>ES</td>\n",
       "      <td>2000</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>ES</td>\n",
       "      <td>2001</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>ES</td>\n",
       "      <td>2012</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>AT</td>\n",
       "      <td>2020</td>\n",
       "      <td>151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>AT</td>\n",
       "      <td>2012</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>AT</td>\n",
       "      <td>2017</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>AT</td>\n",
       "      <td>2019</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>AT</td>\n",
       "      <td>2018</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>AT</td>\n",
       "      <td>2014</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>AT</td>\n",
       "      <td>2015</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>AT</td>\n",
       "      <td>2003</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>AT</td>\n",
       "      <td>2013</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>AT</td>\n",
       "      <td>2007</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>AT</td>\n",
       "      <td>2000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>AT</td>\n",
       "      <td>2011</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>AT</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>AT</td>\n",
       "      <td>1975</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>AT</td>\n",
       "      <td>1984</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>AT</td>\n",
       "      <td>2010</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>AT</td>\n",
       "      <td>2002</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>AT</td>\n",
       "      <td>1998</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>AT</td>\n",
       "      <td>1994</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>AT</td>\n",
       "      <td>2005</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>AT</td>\n",
       "      <td>1995</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>AT</td>\n",
       "      <td>1997</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>AT</td>\n",
       "      <td>1976</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>AT</td>\n",
       "      <td>1983</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>AT</td>\n",
       "      <td>1974</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>AT</td>\n",
       "      <td>1987</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>AT</td>\n",
       "      <td>1993</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>AT</td>\n",
       "      <td>2008</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>AT</td>\n",
       "      <td>2009</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
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    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "SELECT (?juris as ?jurisdiction) ?year (COUNT(DISTINCT(?id)) AS ?numberOfLegislations)\n",
    "WHERE {\n",
    "    {\n",
    "        ?s a lkg:Legislation ;\n",
    "            nif:isString ?s_text ;\n",
    "            lkg:metadata ?metadata .\n",
    "        ?metadata eli:jurisdiction ?juris ;\n",
    "            eli:version_date ?date ;\n",
    "            eli:id_local ?id ;\n",
    "            terms:source ?source .\n",
    "    }\n",
    "    UNION{\n",
    "        SERVICE <http://sparql.lynx-project.eu/> {\n",
    "            ?s a lkg:Legislation ;\n",
    "                nif:isString ?s_text ;\n",
    "                lkg:metadata ?metadata .\n",
    "            ?metadata eli:jurisdiction ?juris ;\n",
    "                eli:version_date ?date ;\n",
    "                eli:id_local ?id ;\n",
    "                terms:source ?source .\n",
    "        }\n",
    "    }\n",
    "    BIND(year(?date) as ?year)\n",
    "    \n",
    "} group by ?juris ?year\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "903e4f1f",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### CQ11: What is the year in which more legislations were approved by each jurisdiction?"
   ]
  },
  {
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   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "SELECT ?jurisdiction (SAMPLE(?year) as ?year) (MAX(?numberOfLegislations) AS ?numberOfLegislations)\n",
    "WHERE {\n",
    "    SELECT (?juris as ?jurisdiction) ?year (COUNT(DISTINCT(?id)) AS ?numberOfLegislations)\n",
    "    WHERE {\n",
    "        {\n",
    "            ?s a lkg:Legislation ;\n",
    "                nif:isString ?s_text ;\n",
    "                lkg:metadata ?metadata .\n",
    "            ?metadata eli:jurisdiction ?juris ;\n",
    "                eli:version_date ?date ;\n",
    "                eli:id_local ?id ;\n",
    "                terms:source ?source .\n",
    "        }\n",
    "        UNION{\n",
    "            SERVICE <http://sparql.lynx-project.eu/> {\n",
    "                ?s a lkg:Legislation ;\n",
    "                    nif:isString ?s_text ;\n",
    "                    lkg:metadata ?metadata .\n",
    "                ?metadata eli:jurisdiction ?juris ;\n",
    "                    eli:version_date ?date ;\n",
    "                    eli:id_local ?id ;\n",
    "                    terms:source ?source .\n",
    "            }\n",
    "        }\n",
    "        BIND(year(?date) as ?year)\n",
    "\n",
    "    } group by ?juris ?year\n",
    "} group by ?jurisdiction\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e65f6c41",
   "metadata": {
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    "hidden": true
   },
   "source": [
    "### CQ12: What has been the latest legislation approved by each jurisdiction?"
   ]
  },
  {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>jurisdiction</th>\n",
       "      <th>date</th>\n",
       "      <th>id</th>\n",
       "      <th>source</th>\n",
       "      <th>content</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2013-02-26T00:00:00</td>\n",
       "      <td>BOE-B-2001-94073</td>\n",
       "      <td>https://www.boe.es/diario_boe/txt.php?id=BOE-B-2001-94073</td>\n",
       "      <td>4736\\nJueves 19 abril 2001\\nBOE núm. 94\\n5.\\nProcedencia de los materiales: Nacional/UE.\\nPresupuesto en pesetas: 2.767.596.000.\\nLo que se hace público para que pueda ser exa-\\nminada la documentación presentada en esta Dele-\\ngación Provincial sita en calle Hermanos Machado,\\nsin número, 2.a planta, y formularse al mismo tiempo\\nen pliego duplicado, las reclamaciones que se esti-\\nmen oportunas, en el plazo de treinta días, contados\\na partir del siguiente de la publicación del anuncio.\\nAlmería, 21 de marzo de 2001.—El Delegado pro-\\nvincial, Blas Díaz Bonillo.—17.012.\\nADMINISTRACIÓN LOCAL\\nResolución del Ayuntamiento de Arganda del\\nRey sobre expropiación de bienes y derechos\\ntitulares unidad de ejecución 108 «La Per-\\nlita».\\nPor el Alcalde-Presidente se ha dictado, con fecha\\n15 de marzo de 2001, el Decreto que a continuación\\nse transcribe literalmente:\\n«Visto el expediente de expropiación de los bienes\\ny derechos de titulares con domicilio desconocido\\nno adheridos a la Junta de Compensación de la\\nUnidad de Ejecución número 108 “La Perlita”, tra-\\nmitado por este Ayuntamiento. Considerando que\\npor acuerdo de la Comisión de Urbanismo de\\nMadrid se ha aprobado definitivamente el proyecto\\nreferido, con fecha 19 de febrero de 2001, publicado\\nen el “Boletín Oficial de la Comunidad de Madrid”\\nnúmero 61 de fecha 13 de marzo de 2001, en el\\nque se establece la aplicación del procedimiento\\nde tasación conjunta, haciendo constar que el pre-\\nsente acuerdo implicará la declaración de urgencia\\npara la ocupación de los bienes y derechos afectados.\\nResultando que, con respecto al expediente antes\\nindicado, por esta Alcaldía se dictó Decreto con\\nfecha 15 de marzo de 2001, señalando el día 3\\nde abril del año en curso para la firma de actas\\nde ocupación y pago, sin que en tiempo se hayan\\nefectuado las debidas publicaciones de dicho\\nDecreto.\\nDe conformidad con la legislación vigente, re-\\nsuelvo:\\nPrimero.—Revocar el Decreto de Alcaldía número\\n152/2001, de fecha 15 de marzo de 2001, al objeto\\nde modificar la fecha para la firma de las actas\\nde ocupación y pago, manteniendo íntegramente\\nel texto del mismo.\\nSegundo.—Convocar a los propietarios y demás\\ntitulares de bienes y derechos afectados por el citado\\nproyecto, que se relacionan en el anexo único que\\nse une a la presente resolución, en las fechas y\\nhoras que se indican, para formalizar las actas de\\nocupación y pago, en el Ayuntamiento de Arganda\\ndel Rey (Departamento de Urbanismo), plaza de\\nla Constitución, número 1, de Arganda del Rey\\n(Madrid).\\nTercero.—Hacerles saber que a dicho acto deberán\\nasistir personalmente o representados por persona\\ndebidamente autorizada para actuar en su nombre\\ny aportando la documentación justificativa de las\\ntitularidades respectivas, expresándose que para la\\nfirma del acta de ocupación y pago de la valoración\\ndada por el citado proyecto deberán aportar la opor-\\ntuna rectificación registral de dominio y cargas en\\nlos términos que señala el artículo 222 del texto\\nrefundido de la Ley sobre Régimen del Suelo y\\nOrdenación Urbana de 1992.\\nCuarto.—Hacerles saber que hasta el día señalado\\npara la firma del acta de ocupación y pago podrán\\nformular las alegaciones que estimen oportunas al\\nsolo efecto de subsanar los posibles errores de que\\npudiera adolecer.\\nQuinto.—Notificar y publicar la presente resolu-\\nción a quienes resulten interesados.\\nAnexo único\\nFinca proyecto: Número: 1. Polígono: 42. Parcela:\\n8. Titular del proyecto: Don Federico Salcedo Cor-\\ndón. Domicilio: Desconocido. Citación: Día 3 de\\nmayo de 2001. Hora: Nueve.\\nFinca proyecto: Número: 2. Polígono: 42. Parcela:\\n10. Titular del proyecto: Herederos de don Gonzalo\\nGarcía San. Domicilio: Desconocido. Citación: Día\\n3 de mayo de 2001. Hora: Nueve.\\nFinca proyecto: Número: 3. Polígono: 49. Parcela:\\n79. Titular del proyecto: Don Fernando Brea Sán-\\nchez. Domicilio: Desconocido. Citación: Día 3 de\\nmayo de 2001. Hora: Nueve.\\nFinca proyecto: Número: 4. Polígono: 49. Parcela:\\n143. Titular del proyecto: Herederos de don Gonzalo\\nGarcía Sanz. Domicilio: Desconocido. Citación: Día\\n3 de mayo de 2001. Hora: Nueve.\\nCon la publicación del presente anuncio se con-\\nsideran notificados las personas relacionadas en el\\nanexo único o quien resulte titular de las parcelas\\nigualmente relacionadas, con domicilio desconocido\\na los efectos señalados en el artículo 59.4 de la\\nLey de Procedimiento Administrativo de 26 de\\nnoviembre de 1992; haciendo saber que contra el\\npresente acto no cabe interponer recurso adminis-\\ntrativo alguno, significando que el mismo no goza\\nde autonomía a efectos de impugnación, al estar\\nsu validez subordinada a la del acto de que es\\nejecución.\\nArganda del Rey (Madrid), 5 de abril de 2001.—El\\nSecretario accidental, Fabián Arroyo Morci-\\nllo.—16.780.\\nUNIVERSIDADES\\nResolución del Centro de Enseñanza Superior\\n«Don Bosco» sobre extravío de título.\\nA efectos de la Orden de 9 de septiembre de 1974,\\nse anuncia el extravío del título de Diplomado en\\nFormación Profesional de EGB de doña Dolores\\nGallego Santos, expedido en Madrid, el 30 de\\nnoviembre de 1985.\\nMadrid, 26 de marzo del 2001.—La Directora\\nadjunta.—16.756\\nResolución de la Facultad de Ciencias de la\\nEducación y Psicología sobre extravío de\\ntítulo.\\nA efectos de la Orden de 8 de julio de 1988,\\nse anuncia el extravío del título de Diploma en Pro-\\nfesorado de EGB (Filología) de doña Regina Rovira\\nBlin, expedido el día 18 de julio de 1991.\\nTarragona, 26 de marzo de 2001.—La Decana,\\nMisericòrdia Camps Llauradó.—16.752.\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ES</td>\n",
       "      <td>2020-05-21</td>\n",
       "      <td>BOE-A-1989-10176</td>\n",
       "      <td>https://www.boe.es/diario_boe/xml.php?id=BOE-A-1989-10176</td>\n",
       "      <td>JUAN CARLOS I\\nREY DE ESPAÑA\\nA todos los que la presente vieren y entendieren,\\nSabed: Que las Cortes Generales han aprobado y Yo vengo en sancionar la siguiente Ley:\\nPREÁMBULO\\nLos cambios socioeconómicos experimentados en nuestro país han generado un notable incremento en la demanda de educación superior, lo que hace ineludible que los poderes públicos ofrezcan respuestas a esta demanda en el marco de la programación general de la enseñanza universitaria.\\nA ello responde la creación de una nueva Universidad en Madrid, cuyo objetivo prioritario reside en facilitar el ejercicio del derecho a la educación consagrado en el artículo 27.5 de la Constitución, a través de una política de inversiones que permita adecuar la capacidad de las plazas universitarias a la demanda de enseñanza. Asimismo, pretende contribuir a corregir las disfuncionalidades que produce dicha demanda en las restantes Universidades de Madrid, evitando que el excesivo incremento del número de alumnos afecte negativamente al cumplimiento de las funciones que éstas tienen encomendadas, y, a la vez, propiciar una política de reequilibrio geográfico en la ubicación de los centros universitarios situados en la Comunidad de Madrid en el marco de la colaboración existente con los órganos de dicha Comunidad.\\nPor otra parte, y al tratarse de una nueva Universidad, ésta asume desde su inicio la estructura organizativa y académica establecida por la LRU, lo que le va a permitir responder con mayor garantía al reto científico técnico que tiene planteado el mundo moderno y ofrecer soluciones adecuadas al mismo a través de la calidad docente e investigadora que la sociedad exige.\\nArtículo primero.\\nSe crea la Universidad «Carlos III» de Madrid, la cual se regirá por lo establecido en la Ley Orgánica 11/1983, de 25 de agosto, de Reforma Universitaria, y, en lo no previsto en la misma, por lo dispuesto en la presente Ley.\\nArtículo segundo.\\nPara la gestión administrativa y organización de las enseñanzas conducentes a la obtención de títulos académicos, la Universidad «Carlos III» consta, inicialmente, de los siguientes Centros: una Facultad de Ciencias Sociales y Jurídicas y una Escuela Politécnica Superior ubicados, respectivamente, en el Campus de Getafe y en el Campus de Leganés.\\nArtículo tercero.\\nHasta tanto no se aprueben los Estatutos de la Universidad, el Ministerio de Educación y Ciencia mantendrá, respecto a ésta, las competencias que la Ley Orgánica 11/1983, de 25 de agosto, de Reforma Universitaria, atribuye a las Universidades, sin perjuicio del ejercicio por los órganos creados en la presente Ley de las funciones específicas que se les asignan.\\nArtículo cuarto.\\nA efectos de lo previsto en el artículo anterior se crean los siguientes órganos:\\na) La Comisión Gestora, que ejercerá las funciones de gobierno precisas para la organización y puesta en funcionamiento de la nueva Universidad y el desarrollo de sus actividades académicas. Su Presidente, que habrá de ser Catedrático de Universidad, será nombrado por el Ministro de Educación y Ciencia, quien designará, además, a los siete miembros restantes que la integran.\\nb) El Consejo de Administración, que ejercerá las funciones económicas y presupuestarias que la legislación atribuye al Consejo Social de la Universidad. Estará presidido por el Secretario de Estado de Universidades e Investigación y formarán parte del mismo el Director general de Enseñanza Superior y los representantes designados por cada uno de los siguientes órganos: dos por el Ministerio de Educación y Ciencia; dos por la Comisión Gestora; uno por la Asamblea de Madrid; uno por el Consejo de Gobierno de la Comunidad de Madrid, y dos representantes elegidos uno por el Pleno del Ayuntamiento de Getafe y otro por el de Leganés.\\nDISPOSICIONES TRANSITORIAS\\nPrimera.\\nEn el plazo de un año a partir de la publicación de la presente Ley, el Gobierno, a propuesta del Ministerio de Educación y Ciencia, determinará la normativa singular reguladora de la actividad de la Universidad hasta la aprobación de los Estatutos.\\nSegunda.\\n1. Transcurridos cinco años desde el inicio de actividades académicas, la Universidad procederá a la elección del Claustro Universitario Constituyente. Éste elegirá al Rector y, a continuación, elaborará los Estatutos de la Universidad en el plazo máximo de un año a partir de su constitución.\\n2. Transcurrido dicho plazo sin que la Universidad hubiese sometido sus Estatutos a la aprobación del Gobierno, éste promulgará unos Estatutos provisionales.\\nDISPOSICIONES FINALES\\nPrimera.\\nQuedan autorizados el Gobierno y el Ministerio de Educación y Ciencia para dictar, en el ámbito de sus competencias respectivas, las disposiciones precisas para el desarrollo y cumplimiento de lo dispuesto en la presente Ley.\\nSegunda.\\nLa presente Ley entrará en vigor al día siguiente al de su publicación en el «Boletín Oficial del Estado».\\nPor tanto,\\nMando a todos los españoles, particulares y autoridades, que guarden y hagan guardar esta Ley.\\nPalacio de la Zarzuela, Madrid, a 5 de mayo de 1989.\\nEl Presidente del Gobierno,\\nFELIPE GONZÁLEZ MÁRQUEZ\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AT</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>20004105</td>\n",
       "      <td>https://www.ris.bka.gv.at/GeltendeFassung.wxe?Abfrage=Bundesnormen&amp;Gesetzesnummer=20004105&amp;FassungVom=2006-01-01</td>\n",
       "      <td>\\tRIS - Dienstleistungsscheckgesetz - Bundesrecht konsolidiert, Fassung vom 01.01.2006                Seitenbereiche:      Zum Inhalt (Accesskey 0)        Zur Navigationsleiste (Accesskey 1)              Home (Accesskey 5)             Kontakt (Accesskey 6)            Sitemap (Accesskey 7)             Impressum (Accesskey 8)            English (Accesskey 9)                Navigationsleiste:        \\t\\t\\t\\t\\t\\tStartseite\\t\\t\\tBundesrecht\\t\\t\\tLandesrecht\\t\\t\\tGemeinderecht\\t\\t\\tJudikatur\\t\\t\\tSonstige Kundmachungen, Erlässe\\t\\t\\tGesamtabfrage\\t\\t\\t\\t                                                                    Bundesrecht konsolidiert: Gesamte Rechtsvorschrift für Dienstleistungsscheckgesetz, Fassung vom 01.01.2006                                                                                                                                Druckansicht (Accesskey D)                                                                                                                                                                                      Andere Formate:                                                                                                                                                                          § 0                Langtitel    Dienstleistungsscheckgesetz (DLSG)StF: BGBl. I Nr.  45/2005 (NR: GP XXII RV 856 AB 925 S. 110. BR: AB 7287 S. 722.)        Änderung    BGBl. I Nr. 114/2005 (NR: GP XXII RV 1075 AB 1093 S. 122. BR: AB 7377 S. 725.)BGBl. I Nr. 30/2014 (NR: GP XXV IA 260/A AB 60 S. 18. BR: AB 9159 S. 828.)BGBl. I Nr. 100/2018 (NR: GP XXVI RV 329 AB 413 S. 57. BR: 10079 AB 10082 S. 888.)                              § 1                            Text    Geltungsbereich§ 1. (1) Dieses Gesetz regelt die Ansprüche und Verpflichtungen aus Arbeitsverhältnissen, die von arbeitsberechtigten Arbeitnehmern mit natürlichen Personen zur Erbringung von einfachen haushaltstypischen Dienstleistungen in deren Privathaushalten auf längstens einen Monat befristet für die Dauer des jeweiligen Arbeitseinsatzes abgeschlossen werden, soweit die Entgeltgrenze nach Abs. 4 nicht überschritten und die Entlohnung mit Dienstleistungsscheck vereinbart wird.(2) Arbeitsberechtigt ist, wer zur Aufnahme einer Beschäftigung im Bundesgebiet oder im jeweiligen Bundesland ohne Erteilung einer Beschäftigungsbewilligung berechtigt ist.(3) Befristete Arbeitsverhältnisse im Sinne des Abs. 1 können ohne zahlenmäßige Begrenzung und auch unmittelbar hintereinander abgeschlossen werden, ohne dass dadurch ein Arbeitsverhältnis auf unbestimmte Zeit entsteht.(4) Entgeltgrenze ist die monatliche Geringfügigkeitsgrenze gemäß § 5 Abs. 2 Z 2 des Allgemeinen Sozialversicherungsgesetzes (ASVG), BGBl. Nr. 189/1955. Die Entgeltgrenze gilt für sämtliche Entgelte eines Arbeitnehmers aus Arbeitsverhältnissen im Sinne des Abs. 1 mit einem bestimmten Arbeitgeber in einem Kalendermonat. Urlaubsersatzleistungen und aliquote Sonderzahlungen sind für die Entgeltgrenze nicht zu berücksichtigen.                    § 2                            Text    Verpflichtungen des Arbeitgebers§ 2. (1) Der Arbeitgeber hat sich vor Abschluss des Arbeitsverhältnisses, jedenfalls aber vor Aufnahme der Beschäftigung des Arbeitnehmers, von der Arbeitsberechtigung des Arbeitnehmers zu überzeugen.(2) Der Arbeitgeber hat Entgelte aus Arbeitsverhältnissen im Sinne des § 1 Abs. 1 jeweils unmittelbar nach Beendigung der Beschäftigung am jeweiligen Arbeitstag mit Dienstleistungsscheck zu entlohnen. Der Arbeitgeber hat dem Arbeitnehmer Aufwendungen, die diesem durch eine verspätete Übergabe von Dienstleistungsschecks entstehen, zu ersetzen.(3) Der Arbeitgeber hat dafür Sorge zu tragen, dass die Vorschriften des Hausgehilfen- und Hausangestelltengesetzes, BGBl. Nr. 235/1962, und des jeweils anzuwendenden Mindestlohntarifs eingehalten werden. Das Entgelt hat neben dem entsprechend der jeweiligen Arbeitszeit gebührenden Stundenlohn auch eine Abgeltung für nicht verbrauchten Urlaub nach § 10 Urlaubsgesetz, BGBl. Nr. 390/1976, und die aliquoten Sonderzahlungen zu enthalten.(4) Der Arbeitgeber hat auf dem Dienstleistungsscheck seinen Namen und die aus seiner e-card ersichtliche Sozialversicherungsnummer, den Namen des Arbeitnehmers und die aus der e-card des Arbeitnehmers ersichtliche Sozialversicherungsnummer des Arbeitnehmers sowie den Beschäftigungstag einzusetzen.(5) Bei erstmaliger Entlohnung eines bestimmten Arbeitnehmers mit Dienstleistungsscheck und im Falle von Änderungen hat der Arbeitgeber dem Arbeitnehmer ein Beiblatt zu übergeben und zu bestätigen, dass seine Angaben auf den von ihm übergebenen Dienstleistungsschecks richtig sind.(6) Verfügt der Arbeitgeber noch nicht über eine e-card, so hat er auf dem Beiblatt die zur Vergabe einer e-card durch den Hauptverband der österreichischen Sozialversicherungsträger erforderlichen Daten, insbesondere sein Geburtsdatum und seine Anschrift, anzugeben.(7) Mit der Übergabe von Dienstleistungsschecks in Höhe des nach Abs. 3 geschuldeten Entgelts sowie eines allenfalls erforderlichen Beiblattes an den Arbeitnehmer sind sämtliche Entgeltverpflichtungen und sozialversicherungsrechtlichen Verpflichtungen des Arbeitgebers auf Grund von Arbeitsverhältnissen im Sinne des § 1 Abs. 1 erfüllt. Darüber hinausgehende Ansprüche und Verpflichtungen, die sich aus der Nichteinhaltung oder Nichterfüllung der Rahmenbedingungen für Arbeitsverhältnisse gemäß § 1 ergeben, bleiben unberührt.                    § 3                            Text    Verpflichtungen des Arbeitnehmers§ 3. (1) Der Arbeitnehmer hat dem Arbeitgeber vor Abschluss des Arbeitsverhältnisses, jedenfalls aber vor Aufnahme der Beschäftigung, seine e-card vorzulegen und seine Arbeitsberechtigung nachzuweisen.(2) Der Arbeitnehmer hat die in einem Kalendermonat erhaltenen Dienstleistungsschecks spätestens bis zum Ablauf des nächsten Kalendermonates der nach seinem Wohnort zuständigen Gebietskrankenkasse zu übermitteln.(3) Bei erstmaliger Vorlage und im Falle von Änderungen hat der Arbeitnehmer ein Beiblatt zu übermitteln. Der Arbeitnehmer hat auf dem Beiblatt die zur Bearbeitung erforderlichen Daten, insbesondere seinen Namen, seine Anschrift, seine Staatsangehörigkeit und einen Hinweis, auf welchem Weg eine rasche Kontaktaufnahme möglich ist (e-mail-Adresse, Faxnummer, Telefonnummer), anzugeben und zu bestätigen, dass die ihn betreffenden Angaben auf dem Beiblatt und auf den von ihm vorgelegten Dienstleistungsschecks richtig sind. Zur Erleichterung der Auszahlung des Entgelts hat der Arbeitnehmer nach Möglichkeit auch ein Girokonto bei einer Kreditunternehmung anzugeben.(4) Verfügt der Arbeitnehmer noch nicht über eine e-card, so hat er auf dem Beiblatt auch weitere zur Vergabe einer e-card durch den Hauptverband der österreichischen Sozialversicherungsträger erforderliche Daten, insbesondere sein Geburtsdatum, anzugeben.                    § 4                            Text    Dienstleistungsscheck§ 4. (1) Der Dienstleistungsscheck hat insbesondere folgende Merkmale zu enthalten:1.den Wert,2.den Preis,3.ein Feld für den Namen und die Sozialversicherungsnummer des Arbeitgebers,4.ein Feld für den Namen und die Sozialversicherungsnummer des Arbeitnehmers,5.ein Feld für den Beschäftigungstag.(2) Der Wert des Dienstleistungsschecks entspricht dem Entgelt (§ 49 ASVG).(3) Der Preis des Dienstleistungsschecks besteht aus dem Entgelt, dem Unfallversicherungsbeitrag und dem Verwaltungskostenanteil. Der Verwaltungskostenanteil beträgt 0,6 vH des Entgelts und ist vom Arbeitgeber zu tragen.(4) Der Dienstleistungsscheck kann nur eingelöst werden, wenn die erforderlichen Angaben auf dem Dienstleistungsscheck oder auf einem Beiblatt vorliegen.(5) Die zuständige Gebietskrankenkasse hat dem Arbeitnehmer das Entgelt jeweils auf ein Girokonto des Arbeitnehmers bei einer Kreditunternehmung auszuzahlen. Ist die Überweisung auf ein Konto nicht möglich, so hat die Auszahlung der Leistungen jeweils durch Postanweisung zu erfolgen.(6) Der Dienstleistungsscheck ist auch gültig, wenn der Arbeitnehmer nicht arbeitsberechtigt im Sinne des § 1 Abs. 2 ist.                    § 5                            Text    Zuständigkeit§ 5. (1) Für die Schaffung und Aufrechterhaltung der organisatorischen Voraussetzungen für den Einsatz und die Einlösung von Dienstleistungsschecks sind die Gebietskrankenkassen sowie der gemäß § 7 Abs. 2 als Kompetenzzentrum bestimmte Versicherungsträger zuständig.(2) Die Gebietskrankenkassen sowie der gemäß § 7 Abs. 2 als Kompetenzzentrum bestimmte Versicherungsträger und der Hauptverband der österreichischen Sozialversicherungsträger haben die Aufgaben nach diesem Bundesgesetz im übertragenen Wirkungsbereich auf Weisung des Bundesministers für Wirtschaft und Arbeit zu vollziehen.(3) Die örtliche Zuständigkeit einer Gebietskrankenkasse für Dienstleistungsschecks, die Arbeitnehmer von Arbeitgebern zur Entlohnung auf Grund von Arbeitsverhältnissen gemäß § 1 Abs. 1 erhalten haben, richtet sich nach dem Wohnsitz des Arbeitnehmers.                    § 6                            Text    Deckung des Aufwandes§ 6. (1) Für die Erfassung der für die Vollziehung dieses Bundesgesetzes erforderlichen Aufwendungen im übertragenen Wirkungsbereich sind eigene Rechnungskreise einzurichten, die eine Zuordnung dieses Aufwandes der Gebietskrankenkassen sowie des gemäß § 7 Abs. 2 als Kompetenzzentrum bestimmten Versicherungsträgers und des Hauptverbandes der österreichischen Sozialversicherungsträger unter Berücksichtigung der Grundsätze der Sparsamkeit, Wirtschaftlichkeit und Zweckmäßigkeit eindeutig ermöglichen.(2) Die der Erfüllung der Aufgaben dieses Bundesgesetzes im übertragenen Wirkungsbereich und der Übermittlung der Lohnzettel gemäß § 69 Abs. 7 EStG dienenden (anteiligen) laufenden Personal- und Sachaufwendungen der Gebietskrankenkassen sowie des gemäß § 7 Abs. 2 als Kompetenzzentrum bestimmten Versicherungsträgers und des Hauptverbandes der österreichischen Sozialversicherungsträger sind unter Bedachtnahme auf die Ergebnisse der Kostenrechnung zu ermitteln und, soweit diese durch den Verwaltungskostenanteil (§ 4 Abs. 3) nicht gedeckt sind, vom Bund aus der Gebarung Arbeitsmarktpolitik zu ersetzen. Diese Aufwendungen sind jeweils monatlich in Höhe der zu erwartenden anteiligen Aufwendungen zu bevorschussen und nach Vorliegen der endgültigen Abrechnungen auszugleichen.(3) Die zur Herstellung der Voraussetzungen zur Vollziehung dieses Bundesgesetzes, auch im Falle von Gesetzesänderungen, erforderlichen einmaligen Aufwendungen sind in der nachgewiesenen Höhe vom Bund aus der Gebarung Arbeitsmarktpolitik zu ersetzen.                    § 7                            Text    Organisation§ 7. (1) Die Gebietskrankenkassen haben den Einsatz und den Umgang mit Dienstleistungsschecks unter Beachtung der Grundsätze der Sparsamkeit, Wirtschaftlichkeit und Zweckmäßigkeit sowie der Gewährleistung eines bundesweit einheitlichen flächendeckenden Angebotes der Dienstleistungsschecks zu organisieren.(2) Die Trägerkonferenz im Hauptverband der österreichischen Sozialversicherungsträger hat einen Versicherungsträger als Kompetenzzentrum zu bestimmen, der zur Vollziehung der Aufgaben nach Abs. 1 sowie zur finanziellen Abwicklung und Koordinierung der Gebietskrankenkassen in Angelegenheiten nach diesem Bundesgesetz zuständig ist.(3) Das Kompetenzzentrum kann Dienstleister, insbesondere für die Herstellung und den Vertrieb von Dienstleistungsschecks, heranziehen.(4) Das Kompetenzzentrum hat darauf zu achten, dass der Dienstleistungsscheck Sicherheitsmerkmale aufweist, die eine Aufdeckung gefälschter Dienstleistungsschecks ermöglichen.(5) Der Hauptverband der österreichischen Sozialversicherungsträger hat die technischen Vorkehrungen zur automationsunterstützten Verarbeitung der Daten auf den Dienstleistungsschecks und den Beiblättern sicher zu stellen.                    § 8                            Text    Mitwirkungsverpflichtungen§ 8. (1) Arbeitnehmer, die Arbeitsverhältnisse im Sinne des § 1 Abs. 1 eingehen, haben den Trägern der Sozialversicherung und den von den Trägern der Sozialversicherung beauftragten Dienstleistern, dem Arbeitsmarktservice und den Bezirksverwaltungsbehörden umgehend, spätestens innerhalb von 14 Tagen, die zur Vollziehung dieses Bundesgesetzes erforderlichen Auskünfte zu erteilen und Nachweise zu erbringen.(2) Arbeitgeber, die Arbeitsverhältnisse im Sinne des § 1 Abs. 1 eingehen, haben den Trägern der Sozialversicherung und den von den Trägern der Sozialversicherung beauftragten Dienstleistern, dem Arbeitsmarktservice und den Bezirksverwaltungsbehörden umgehend, spätestens innerhalb von 14 Tagen, die zur Vollziehung dieses Bundesgesetzes erforderlichen Auskünfte zu erteilen.                    § 9                            Text    Prüfung der Arbeitsberechtigung§ 9. Ergeben sich Zweifel an der Arbeitsberechtigung des Arbeitnehmers, so ist diese vom Arbeitsmarktservice zu prüfen. Bei fehlender Arbeitsberechtigung ist Anzeige an die zuständige Bezirksverwaltungsbehörde zu erstatten.                    § 10                            Text    Verwaltungsübertretung§ 10. Wer als Arbeitgeber ein Arbeitsverhältnis im Sinne des § 1 Abs. 1 mit einem Arbeitnehmer, der nicht gemäß § 1 Abs. 2 arbeitsberechtigt ist, eingeht, begeht eine Verwaltungsübertretung. Bei erstmaliger Übertretung ist der Arbeitgeber von der Bezirksverwaltungsbehörde unter Hinweis auf die Rechtswidrigkeit seines Verhaltens mit Bescheid zu ermahnen und von einer Strafe abzusehen. Bei jeder weiteren Übertretung ist der Arbeitgeber von der Bezirksverwaltungsbehörde mit Geldstrafe bis zu 200 Euro zu bestrafen. § 28 des Ausländerbeschäftigungsgesetzes (AuslBG), BGBl. Nr. 218/1975, ist auf solche Verwaltungsübertretungen nicht anzuwenden.                    § 11                            Text    Evaluierung§ 11. Der Bundesminister für Wirtschaft und Arbeit hat dafür zu sorgen, dass die Umsetzung und die Auswirkungen dieses Bundesgesetzes nach Ablauf eines Jahres nach In-Kraft-Treten dieses Bundesgesetzes evaluiert werden.                    § 12                            Text    Verhältnis zu anderen Rechtsvorschriften§ 12. (1) Soweit in diesem Bundesgesetz auf Bestimmungen anderer Bundesgesetze verwiesen wird, sind diese in ihrer jeweils geltenden Fassung anzuwenden.(2) Soweit in diesem Bundesgesetz nicht anderes bestimmt wird, bleiben die sonstigen arbeitsrechtlichen Regelungen, insbesondere jene des Hausgehilfen- und Hausangestelltengesetzes, BGBl. Nr. 235/1962, unberührt.                    § 13                            Text    Sprachliche Gleichbehandlung§ 13. Soweit in diesem Bundesgesetz personenbezogene Bezeichnungen nur in männlicher Form angeführt sind, beziehen sich diese auf Frauen und Männer in gleicher Weise.                    § 14                            Text    Vollziehung§ 14. Mit der Vollziehung dieses Bundesgesetzes ist der Bundesminister für Wirtschaft und Arbeit betraut.                    § 15                            Text    In-Kraft-Treten§ 15. Dieses Bundesgesetz tritt mit 1. Jänner 2006 in Kraft und gilt für Arbeitsverhältnisse, die nach Ablauf des 31. Dezember 2005 abgeschlossen werden. Vorbereitungshandlungen zur Durchführung dieses Bundesgesetzes, einschließlich des Abschlusses entsprechender Vereinbarungen und Verträge, können bereits ab dem Tag nach der Kundmachung dieses Bundesgesetzes begonnen werden.                                                                                      Zum Seitenanfang    .        Über diese Seite              © 2020 Bundesministerium für Digitalisierung und Wirtschaftsstandort</td>\n",
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    "### CQ13: What was the last legislation approved by the government of the Community of Madrid?"
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       "      <td>http://www.wikidata.org/entity/Q578788</td>\n",
       "      <td>ES-MA</td>\n",
       "      <td>2013-02-26T00:00:00</td>\n",
       "      <td>BOCM-20130226T00:00:00-48-1</td>\n",
       "      <td>https://www.bocm.es/boletin-completo/bocm-20130226T00:00:00/48/</td>\n",
       "      <td>MARTES 26 DE FEBRERO DE 2013\\nPág. 128\\nB.O.C.M. Núm. 48\\nBOCM-20130226-43\\nhttp://www.bocm.es\\nBOLETÍN OFICIAL DE LA COMUNIDAD DE MADRID\\nD. L.: M. 19.462-1983      ISSN 1989-4791\\nBOLETÍN OFICIAL DE LA COMUNIDAD DE MADRID\\nBOCM\\nIII. ADMINISTRACIÓN LOCAL\\nAYUNTAMIENTO DE\\n43\\nARGANDA DEL REY\\nLICENCIAS\\nA los efectos del artículo 45 de la Ley 2/2002, de 19 de junio, de Evaluación Ambien-\\ntal de la Comunidad de Madrid, se hace público que por “Laboratorios Sparchim, Sociedad\\nLimitada”, se ha solicitado licencia para la actividad de ampliación de instalación auxiliar\\ndepósito almacén materia prima en calle Álava, número 5, de esta localidad.—Expedien-\\nte LI 301/2012.\\nLo que se hace saber a fin de que en el plazo de veinte días, a contar desde el siguiente\\na la inserción de este anuncio en el BOLETÍN OFICIAL DE LA COMUNIDAD DE MADRID,\\nquien se considere afectado de algún modo por esta actividad pueda formular, por escrito\\nante el Registro General de este Ayuntamiento, las observaciones pertinentes.\\nEn Arganda del Rey, a 5 de diciembre de 2012.—La concejala de Ordenación del Te-\\nrritorio, Medio Ambiente, Sostenibilidad y Servicios a la Ciudad (por decreto 104/2011,\\nde 13 de junio), Sonia Pico Sánchez.\\n(02/10.087/12)\\n</td>\n",
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    "            nif:isString ?s_text ;\n",
    "            lkg:metadata ?metadata .\n",
    "        ?metadata eli:jurisdiction ?juris ;\n",
    "            eli:version_date ?date ;\n",
    "            eli:id_local ?id ;\n",
    "            lkg:hasAuthority ?auth;\n",
    "            terms:source ?source .\n",
    "    }\n",
    "    UNION{\n",
    "        SERVICE <http://sparql.lynx-project.eu/> {\n",
    "            ?s a lkg:Legislation ;\n",
    "                nif:isString ?s_text ;\n",
    "                lkg:metadata ?metadata .\n",
    "            ?metadata eli:jurisdiction ?juris ;\n",
    "                eli:version_date ?date ;\n",
    "                eli:id_local ?id ;\n",
    "                lkg:hasAuthority ?auth;\n",
    "                terms:source ?source .\n",
    "        }\n",
    "    } FILTER(?auth=<http://www.wikidata.org/entity/Q578788>)\n",
    "}GROUP BY ?auth\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95773e74",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### CQ14: What is the longest legislation?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "159f3ffa",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-12-21T13:16:19.741150Z",
     "start_time": "2023-12-21T13:16:04.097220Z"
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   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>jurisdiction</th>\n",
       "      <th>date</th>\n",
       "      <th>id</th>\n",
       "      <th>source</th>\n",
       "      <th>len_s_text</th>\n",
       "      <th>content</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ES</td>\n",
       "      <td>1988-04-22</td>\n",
       "      <td>BOE-A-1988-9947</td>\n",
       "      <td>https://www.boe.es/diario_boe/xml.php?id=BOE-A-1988-9947</td>\n",
       "      <td>1682046</td>\n",
       "      <td>JUAN CARLOS I\\nREY DE ESPAÑA\\nA todos los que la presente vieren y entendieren,\\nSabed: Que las Cortes Generales han aprobado y Yo vengo en sancionar la siguiente Ley:\\nLa Ley Orgánica 4/1987, de 15 de julio, de la Competencia y Organización de la Jurisdicción Militar en sus artículos 44 y 59 establece que por Ley se determinará la división territorial jurisdiccional militar de España y se señalará la sede de los Tribunales Militares Territoriales –uno de los cuales la tendrá en Madrid– y de los Juzgados Togados Militares Territoriales, con señalamiento de la demarcación de éstos. La presente Ley viene a cumplir lo ordenado en esos preceptos.\\nArtículo 1.\\nA los efectos jurisdiccionales militares, el territorio español se divide en:\\nTerritorio primero: Comprende las provincias de Madrid, Toledo, Ciudad Real, Cuenca, Guadalajara, Segovia, Ávila, Cáceres, Badajoz, Castellón, Valencia, Alicante, Murcia, Albacete e Islas Baleares.\\nTerritorio segundo: Comprende las provincias de Sevilla, Córdoba, Cádiz, Huelva, Jaén, Granada, Málaga y Almería, así como Ceuta y Melilla.\\nTerritorio tercero: Comprende las provincias de Barcelona, Tarragona, Lérida, Gerona, Zaragoza, Huesca y Teruel.\\nTerritorio cuarto: Comprende las provincias de La Coruña, Lugo, Orense, Pontevedra, Asturias, León, Zamora, Salamanca, Valladolid, Palencia, Cantabria, Burgos, Soria, La Rioja, Navarra, Guipúzcoa, Vizcaya y Álava.\\nTerritorio quinto: Comprende las provincias de Santa Cruz de Tenerife y Las Palmas.\\nArtículo 2.\\nEn cada uno de los territorios descritos en el artículo anterior existirá un Tribunal Militar Territorial, cuya sede será la siguiente:\\n— Tribunal Militar Territorial Primero, Madrid.\\n— Tribunal Militar Territorial Segundo, Sevilla.\\n— Tribunal Militar Territorial Tercero, Barcelona.\\n— Tribunal Militar Territorial Cuarto, La Coruña.\\n— Tribunal Militar Territorial Quinto, Santa Cruz de Tenerife.\\nEl Tribunal Militar Territorial Primero se compondrá de dos Secciones, ambas con sede en Madrid, y los demás Tribunales Militares Territoriales de una Sección, sin perjuicio de lo dispuesto en el artículo siguiente.\\nArtículo 3.\\nEn los Tribunales Militares Territoriales que a continuación se citan existirán, además, las siguientes Secciones:\\n– Una tercera Sección del Tribunal Militar Territorial Primero, cuya competencia territorial comprenderá las provincias de Castellón, Valencia, Alicante, Albacete, Murcia e Islas Baleares, y tendrá su sede en Valencia.\\n– Una segunda Sección del Tribunal Militar Territorial Segundo, cuya competencia territorial comprenderá las provincias de Granada, Málaga y Almería, así como Melilla, y tendrá su sede en Granada.\\n– Una segunda Sección del Tribunal Militar Territorial Cuarto, cuya competencia territorial comprenderá las provincias de Cantabria, Burgos, Soria, La Rioja, Navarra, Guipúzcoa, Vizcaya y Álava, y tendrá su sede en Burgos.\\nLas Secciones a que se refiere este artículo se pondrán en funcionamiento en el momento en que se determine por el Gobierno, mediante Real Decreto, si el cúmulo de asuntos judiciales, la modificación en el despliegue de la fuerza o la celeridad en la Administración de Justicia así lo aconsejan.\\nArtículo 4.\\nCada una de las Secciones del Tribunal Militar Territorial se compondrán y constituirán en la forma que señalan los artículos 46 y 51 de la Ley Orgánica 4/1987, de 15 de julio, de la Competencia y Organización de la Jurisdicción Militar.\\nSi en la lista de cada Ejército a que hace referencia el artículo 49 de la Ley Orgánica de Competencia y Organización de la Jurisdicción Militar no hubiere ningún nombre o suficiente número de nombres para extraer vocales militares de un determinado Ejército, se suplirá acudiendo a la lista del territorio correspondiente al tribunal Militar Territorial Primero.\\nArtículo 5.\\nCon sede en Madrid y competencia territorial que determina la Ley Orgánica 4/1987, de 15 de julio, de Competencia y Organización de la Jurisdicción Militar, existirán los Juzgados Togados Militares Centrales números 1 y 2.\\nArtículo 6.\\nEn el territorio primero, las demarcaciones, planta, número de orden y sede de los Juzgados Togados Militares Territoriales será la siguiente:\\na) Provincias de Madrid, Toledo, Ciudad Real, Cuenca, Guadalajara, Ávila y Segovia.\\nCuatro Juzgados Togados, con los números 11, 12, 13 y 14, todos con sede en Madrid.\\nb) Provincias de Cáceres y Badajoz.\\nUn Juzgado Togado con el número 15 y sede en Badajoz.\\nc) Provincias de Castellón, Valencia, Alicante y Albacete.\\nDos Juzgados Togados con los números 16 y 17, ambos con sede en Valencia.\\nd) Provincia de Murcia.\\nUn Juzgado Togado, con el número 18 y sede en Cartagena (Murcia).\\ne) Islas Baleares.\\nUn Juzgado Togado con el número 19 y sede en Palma de Mallorca.\\nArtículo 7.\\nEn el territorio segundo, las demarcaciones, planta, número de orden y sede de los Juzgados Togados Militares Territoriales será la siguiente:\\nf) Provincias de Córdoba, Sevilla, Huelva y Jaén.\\nDos Juzgados Togados, con los números 21 y 22, ambos con sede en Sevilla.\\ng) Provincia de Cádiz.\\nUn Juzgado Togado con el número 23 y sede en San Fernando (Cádiz).\\nh) Provincias de Granada y Almería.\\nUn Juzgado Togado con el número 24 y sede en Granada.\\ni) Provincia de Málaga.\\nUn Juzgado Togado con el número 25 y sede en Málaga.\\nj) Ceuta.\\nUn Juzgado Togado con el número 26 y sede en Ceuta.\\nk) Melilla.\\nUn Juzgado Togado con el número 27 y sede en Melilla.\\nArtículo 8.\\nEn el territorio tercero, las demarcaciones, planta, número de orden y sede de los Juzgados Togados Militares Territoriales será la siguiente:\\nl) Provincias de Barcelona, Tarragona, Lérida y Gerona.\\nUn Juzgado Togado con el número 31 y sede en Barcelona.\\nm) Provincias de Zaragoza, Huesca y Teruel.\\nDos Juzgados Togados con los números 32 y 33, ambos con sede en Zaragoza.\\nArtículo 9.\\nEn el territorio cuarto, las demarcaciones, planta, número de orden y sede de los Juzgados Togados Militares Territoriales será la siguiente:\\nn) Provincias de La Coruña, Lugo, Orense y Pontevedra.\\nDos Juzgados Togados con los números 41 y 42, ambos con sede en La Coruña.\\no) Provincias de León y Asturias.\\nUn Juzgado Togado con el número 43 y sede en León.\\np) Provincias de Valladolid, Palencia, Zamora y Salamanca.\\nUn Juzgado Togado con el número 44 y sede en Valladolid.\\nq) Provincias de Burgos, Cantabria, Soria, La Rioja y Vizcaya.\\nUn Juzgado Togado con el número 45 y sede en Burgos.\\nr) Provincias de Navarra, Álava y Guipúzcoa.\\nUn Juzgado Togado con el número 46 y sede en Pamplona.\\nArtículo 10.\\nEn el territorio quinto, las demarcaciones, planta, número de orden y sede de los Juzgados Togados Militares Territoriales será la siguiente:\\ns) Provincia de Santa Cruz de Tenerife.\\nUn Juzgado Togado con el número 51 y sede en Santa Cruz de Tenerife.\\nt) Provincia de Las Palmas.\\nDos Juzgados Togados con los números 52 y 53, ambos con sede en Las Palmas de Gran Canaria.\\nArtículo 11.\\nSi la plaza de Juez Togado estuviere vacante o en caso de ausencia o incompatibilidad del titular, se hará cargo del Juzgado Togado correspondiente sin perjuicio de la titularidad del suyo propio, el Juez del mismo territorio que, en trámite de urgencia, designe la Sala de Gobierno del Tribunal Militar Central, con observancia de lo dispuesto en el artículo 55 de la Ley Orgánica 4/1987, de 15 de julio, de la Competencia y Organización de la Jurisdicción Militar.\\nArtículo 12.\\nEn la sede de las Secciones del Tribunal Militar Territorial que no coincidan con la sede del Tribunal, existirá una Fiscalía dependiente del Fiscal Jefe de la Fiscalía del Tribunal.\\nDISPOSICIÓN ADICIONAL\\n1. La normativa procesal penal por la que se regirá la Jurisdicción Militar a partir del primero de mayo de 1988, será el Tratado tercero, Procedimientos militares, del Código de Justicia Militar de 17 de julio de 1945, acomodado a la estructura, terminología y atribuciones de los órganos que determina la Ley Orgánica 4/1987, de 15 de julio, de la Competencia y Organización de la Jurisdicción Militar, y con las modificaciones, sustituciones y supresiones que se señalan en esta Disposición Adicional.\\n2. Las referencias a la autoridad judicial militar, al auditor, o a la autoridad judicial con su auditor de dicho tratado, se entenderán hechas al Tribunal Militar correspondiente.\\n3. Los siguientes artículos del Tratado Tercero del Código de Justicia Militar quedarán redactados como sigue:\\nArtículo 730.\\nEl Fiscal, una vez formulado el precedente escrito, que unirá al procedimiento, remitirá éste al Instructor.\\nEl Instructor requerirá al procesado para que nombre defensor, si no lo hubiere designado en el sumario. Si se negase a designarlo o transcurrieren cinco días sin hacerlo, se le nombrará de oficio.\\nArtículo 797.\\nLa sentencia que el Tribunal Militar pronuncie se notificará, por el Secretario Relator, a las partes personadas, haciéndoles saber que contra la misma cabe recurso de casación, que deberá prepararse dentro de los cinco días siguientes al de la notificación.\\nTranscurridos cinco días sin que ningún legitimado haya preparado recurso de casación, el Tribunal declarará, por auto, firme la sentencia.\\nArtículo 1.062.\\nCuando la responsabilidad civil de que se trate sea la subsidiaria del Estado derivada del artículo 48 del Código Penal Militar, firme la Sentencia o el acuerdo del Tribunal que declare procedente exigirla, ordenará éste que se tramite pieza separada, que encabezará con testimonio de particulares, entre los que ha de figurar siempre la resolución del procedimiento. Una vez completa la instrucción, se elevará lo actuado al Ministerio de Defensa para su ejecución.\\n4. Quedarán sin contenido los siguientes artículos del Código de Justicia Militar: 470, 512, 514, 525, 526, 527, 725 párrafo primero, 731, 763, 764, 765, 798 a 807, 825 a 860, 911, 954 a 975, 977, 978, 980 a 985, 1.025 a 1.046, 1.063 a 1.071.\\n5. Los expedientes judiciales por faltas graves comprendidos en los artículos 431, 432 y 433 del Código de Justicia Militar, que no se hallen conclusos el primero de mayo de 1988, serán resueltos por la autoridad sancionadora a que se refiere el número 3 del artículo 19 de la Ley Orgánica 12/1985, de 27 de noviembre, de Régimen Disciplinario de las Fuerzas Armadas.\\n6. Se regirán por la Ley de Enjuiciamiento Criminal:\\na) Las cuestiones de competencia entre órganos judiciales militares. A estos efectos serán superiores jerárquicos para resolver dichas cuestiones los Tribunales militares territoriales respecto de los Jueces Togados Militares de su territorio y la Sala de Justicia del Tribunal Militar Central en los demás casos.\\nb) Las causas de abstención y recusación.\\nc) Los recursos de revisión y casación.\\nEl procedimiento ordinario de la Ley de Enjuiciamiento Criminal será norma supletoria del Tratado Tercero del Código de Justicia Militar.\\n7. En el procedimiento contencioso disciplinario militar será norma procesal la Ley Reguladora de la Jurisdicción Contencioso-Administrativa, de 27 de diciembre de 1956, con las salvedades orgánicas propias de la Jurisdicción Militar.\\nDISPOSICIÓN FINAL\\nLa presente Ley entrará en vigor al día siguiente de su publicación en el «Boletín Oficial del Estado».\\nPor tanto,\\nMando a todos los españoles, particulares y autoridades que guarden y hagan guardar esta Ley.\\nPalacio de La Zarzuela, Madrid, a 21 de abril de 1988.\\nJUAN CARLOS R.\\nEl Presidente del Gobierno,\\nFELIPE GONZÁLEZ MÁRQUEZ\\n</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
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     "output_type": "display_data"
    }
   ],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "\n",
    "\n",
    "SELECT (SAMPLE(?juris) as ?jurisdiction) (SAMPLE(?date) AS ?date) (SAMPLE(?id) AS ?id) \n",
    "(SAMPLE(?source) AS ?source) (MAX(STRLEN(?s_text)) AS ?len_s_text) (SAMPLE(?s_text) as ?content)\n",
    "WHERE {\n",
    "    {\n",
    "        ?s a lkg:Legislation ;\n",
    "            nif:isString ?s_text ;\n",
    "            lkg:metadata ?metadata .\n",
    "        ?metadata eli:jurisdiction ?juris ;\n",
    "            eli:version_date ?date ;\n",
    "            eli:id_local ?id ;\n",
    "            terms:source ?source .\n",
    "    }\n",
    "    UNION{\n",
    "        SERVICE <http://sparql.lynx-project.eu/> {\n",
    "            ?s a lkg:Legislation ;\n",
    "                nif:isString ?s_text ;\n",
    "                lkg:metadata ?metadata .\n",
    "            ?metadata eli:jurisdiction ?juris ;\n",
    "                eli:version_date ?date ;\n",
    "                eli:id_local ?id ;\n",
    "                terms:source ?source .\n",
    "        }\n",
    "    } \n",
    "}\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bf89624",
   "metadata": {},
   "source": [
    "### CQ15: How much legislative and propaganda activity has the spanish leftist parties had during their governments in each legislature?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "49f7e0b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<urlopen error [Errno -3] Temporary failure in name resolution>\n"
     ]
    }
   ],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "PREFIX ps: <http://www.wikidata.org/prop/statement/>\n",
    "PREFIX p: <http://www.wikidata.org/prop/>\n",
    "PREFIX pq: <http://www.wikidata.org/prop/qualifier/>\n",
    "\n",
    "SELECT ?ideologyLabel ?ppartyLabel (?startTime as ?inGovernmentSince) (?endTime AS ?inGovernmentUntil) ?legislatureLabel ?legislatureStartTime ?legislatureEndTime (COUNT(DISTINCT ?message) AS ?discourses) (COUNT(DISTINCT ?legis) AS ?legislations)\n",
    "WHERE {\n",
    "    {\n",
    "        SELECT (NOW() AS ?currentTime) WHERE {}\n",
    "    }\n",
    "    {\n",
    "        SERVICE <https://query.wikidata.org/sparql> {\n",
    "            ?pparty rdfs:label ?ppartyLabel;\n",
    "\t\t\t\t\twdt:P1387 ?ideology.                            # has an ideological alignment\n",
    "            VALUES ?ideology { wd:Q737014 wd:Q164597 wd:Q1129409 }  # Restriction of ideology to the left\n",
    "            ?ideology rdfs:label ?ideologyLabel.                    # get ideology label\n",
    "            FILTER(LANG(?ideologyLabel) = \"en\").                    # in english\n",
    "\n",
    "            FILTER(LANGMATCHES(LANG(?ppartyLabel), \"es\")).\n",
    "            wd:Q29 p:P6 ?statement.                                                  # Spain (Q29) with a head of government declaration (Q6)\n",
    "            ?statement ps:P6 ?primeMinister.                                         # Prime Minister (P6)\n",
    "            ?statement pq:P580 ?startTime.                                           # Start date of post\n",
    "            OPTIONAL { ?statement pq:P582 ?possibleEndTime. }                        # End date of post (optional)\n",
    "            ?primeMinister wdt:P102 ?pparty.                                         # The prime minister's political party is left-wing (previously leaked).\n",
    "            BIND(IF(BOUND(?possibleEndTime), ?possibleEndTime, ?currentTime) AS ?endTime)   # Assign NOW() if ?possibleEndTime is not defined\n",
    "           \n",
    "          \n",
    "          ?legislature p:P31 ?legislatureStatement.  # Declaration identifying it as a legislature\n",
    "          ?legislatureStatement ps:P31 wd:Q15238777; # Instance of legislature\n",
    "                                pq:P642 wd:Q219692.  # Qualifier: Cortes Generales\n",
    "\n",
    "          ?legislature wdt:P17 wd:Q29;                  # Country: Spain\n",
    "                       wdt:P580 ?legislatureStartTime;  # Start date\n",
    "                       rdfs:label ?legislatureLabel.    # Legislature name\n",
    "          FILTER(LANGMATCHES(LANG(?legislatureLabel), \"en\")).\n",
    "\n",
    "          OPTIONAL { ?legislature wdt:P582 ?possibleLegislatureEndTime. }  # Possible end date\n",
    "          BIND(IF(BOUND(?possibleLegislatureEndTime), ?possibleLegislatureEndTime, ?currentTime) AS ?legislatureEndTime)   # Assign NOW() if ?possibleEndTime is not defined\n",
    "          \n",
    "          FILTER (\n",
    "              (?legislatureStartTime >= ?startTime && ?legislatureStartTime <= ?endTime) || \n",
    "              (?legislatureEndTime >= ?startTime && ?legislatureEndTime <= ?endTime) || \n",
    "              (?startTime >= ?legislatureStartTime && ?endTime <= ?legislatureEndTime)\n",
    "            )\n",
    "        }\n",
    "    }\n",
    "\t\n",
    "    optional{\n",
    "        ?message a podio:Discourse;\n",
    "                terms:creator ?pparty;\n",
    "                dc:date ?created.\n",
    "        FILTER NOT EXISTS { ?message rdf:type podio:ApprovedPolicy }\n",
    "        FILTER (\n",
    "            (?created >= ?startTime && ?created <= ?endTime) &&\n",
    "            (?created >= ?legislatureStartTime && ?created <= ?legislatureEndTime)\n",
    "        )\n",
    "    }\n",
    "\n",
    "    optional{\n",
    "        {\n",
    "            ?legis a lkg:Legislation ;\n",
    "                lkg:metadata ?metadata .\n",
    "            ?metadata eli:jurisdiction ?juris ;\n",
    "                eli:version_date ?legisDate .\n",
    "        }\n",
    "        UNION{\n",
    "            SERVICE <http://sparql.lynx-project.eu/> {\n",
    "                ?legis a lkg:Legislation ;\n",
    "                    lkg:metadata ?metadata .\n",
    "                ?metadata eli:jurisdiction ?juris ;\n",
    "                    eli:version_date ?legisDate.\n",
    "            }\n",
    "        }\n",
    "        FILTER (\n",
    "            (?juris = \"ES\") &&\n",
    "            (?legisDate >= ?startTime && ?legisDate <= ?endTime) &&\n",
    "            (?legisDate >= ?legislatureStartTime && ?legisDate <= ?legislatureEndTime)\n",
    "        )\n",
    "    }\n",
    "}group by ?pparty ?ppartyLabel ?startTime ?endTime ?legislatureLabel ?legislatureStartTime ?legislatureEndTime ?ideologyLabel\n",
    "ORDER BY desc(?legislatureStartTime)\n",
    "Limit 5\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3160df4b",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R1: Political discourse has different metrics (views, listeners, attendees, likes, etc.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e3ba47ba",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?metrics where { \n",
    "    ?s a podio:Discourse;\n",
    "       schema:interactionStatistic ?stats.\n",
    "    ?stats a schema:InteractionCounter;\n",
    "        schema:interactionType ?metrics.\n",
    "}\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e8937c2",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R2: A speech is published by an agent who may not be the creator of the speech itself."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4620e1c7",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?s ?publisher ?creator where { \n",
    "    ?s a podio:Discourse;\n",
    "         terms:publisher ?publisher;\n",
    "         terms:creator ?creator.\n",
    "    FILTER(?publisher != ?creator)\n",
    "}\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b23be7e",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R3: A speech has an audience. That is, the group of people who have received the message."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a5298d3",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?audience where { \n",
    "    ?s a podio:Discourse;\n",
    "         terms:audience ?audience.\n",
    "}\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80dcc938",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R4: A speech has a target. That is, the group of people to whom the message is intended. This group does not necessarily have to coincide with the audience."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a53c4201",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?audience ?target where { \n",
    "    ?s a podio:Discourse;\n",
    "         terms:audience ?audience;\n",
    "         podio:hasTarget ?target.\n",
    "    FILTER(?target != ?audience)\n",
    "}\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cac600cb",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R5: Both speeches and party manifestos are written in one or more languages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7324a5f0",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?language where { \n",
    "    ?s a podio:Discourse;\n",
    "         terms:language ?language.\n",
    "}\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7ddeab6",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R6: Both speeches and party manifestos have a publication date."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c563f7c8",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select ?date where { \n",
    "    ?s a podio:Discourse;\n",
    "         terms:created ?date.\n",
    "} Limit 10\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff5dd4f5",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R7: Both speeches and party manifestos can have a description."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0b48972d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T16:49:52.806604Z",
     "start_time": "2024-02-06T16:49:52.773220Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select ?desc where { \n",
    "    VALUES ?clases {\n",
    "        podio:Discourse\n",
    "        podio:PartyManifesto\n",
    "    }\n",
    "    ?s a ?clases;\n",
    "        terms:description ?desc.\n",
    "} Limit 10\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21b2387c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T17:09:13.610230Z",
     "start_time": "2024-02-06T17:09:13.606913Z"
    },
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R8: Both speeches and party manifestos have an ideology."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c492ac14",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-06T17:09:13.603052Z",
     "start_time": "2024-02-06T17:08:54.253934Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?ideology ?ideologyLabel where { \n",
    "    VALUES ?clases {\n",
    "        podio:Discourse\n",
    "        podio:PartyManifesto\n",
    "    }\n",
    "    ?s a ?clases;\n",
    "        podio:ideology ?ideology.\n",
    "    \n",
    "    # Query Wikidata using federation\n",
    "    SERVICE <https://query.wikidata.org/sparql> {\n",
    "        ?ideology rdfs:label ?ideologyLabel.\n",
    "        FILTER(LANGMATCHES(LANG(?ideologyLabel), \"en\")).\n",
    "        SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }\n",
    "    }\n",
    "    \n",
    "} Limit 3\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77c46630",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R9: Both speeches and party manifestos should reference the source of information in the official channel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f55826a",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?sources where { \n",
    "    VALUES ?clases {\n",
    "        podio:Discourse\n",
    "        podio:PartyManifesto\n",
    "    }\n",
    "    ?s a ?clases;\n",
    "        terms:source ?sources.\n",
    "    \n",
    "    \n",
    "} Limit 3\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a5d986a",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R10: A party manifesto has a textual content extracted from a document."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6c72b535",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?content ?sources where { \n",
    "    ?s a podio:PartyManifesto;\n",
    "        podio:content ?content;\n",
    "        terms:source ?sources.\n",
    "\n",
    "} Limit 3\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e1975c8",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R11: A party manifesto proposes a candidate for political position."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "392260a5",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?candidate ?candidateLabel ?sources where { \n",
    "    ?s a podio:PartyManifesto;\n",
    "        podio:proposesCandidate ?candidate;\n",
    "        terms:source ?sources.\n",
    "    \n",
    "    # Query Wikidata using federation\n",
    "    SERVICE <https://query.wikidata.org/sparql> {\n",
    "        ?candidate rdfs:label ?candidateLabel.\n",
    "        FILTER(LANGMATCHES(LANG(?candidateLabel), \"en\")).\n",
    "        SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }\n",
    "    }\n",
    "    \n",
    "} Limit 3\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d04b715c",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R12: A party manifesto is published by the political party that drafts it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f42867a7",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?publisher ?publisherLabel ?sources where { \n",
    "    ?s a podio:PartyManifesto;\n",
    "        terms:publisher ?publisher.\n",
    "    \n",
    "    # Query Wikidata using federation\n",
    "    SERVICE <https://query.wikidata.org/sparql> {\n",
    "        ?publisher rdfs:label ?publisherLabel.\n",
    "        FILTER(LANGMATCHES(LANG(?publisherLabel), \"en\")).\n",
    "        SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }\n",
    "    }\n",
    "    \n",
    "} Limit 3\n",
    "\"\"\"\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "653b4f17",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R13: A party manifesto has several policy proposals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de532edc",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?pmanifest ?proposal ?proposalContent where { \n",
    "    ?pmanifest a podio:PartyManifesto.\n",
    "    \n",
    "    ?proposal terms:isPartOf ?pmanifest;\n",
    "              podio:content ?proposalContent.\n",
    "    \n",
    "    \n",
    "} Limit 3\n",
    "\"\"\"\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b10f19b",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R14: Political speech can have content in any format, both text and multimedia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0acaac39",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?content where { \n",
    "    ?speech a podio:Discourse;\n",
    "              podio:content ?content.\n",
    "    \n",
    "} Limit 3\n",
    "\"\"\"\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6552fe8",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R15: There are speeches that are shared in digital communities and allow direct interaction with the audience."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0ea88c5e",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?content where { \n",
    "    ?speech a podio:Conversational;\n",
    "              podio:content ?content.\n",
    "    \n",
    "} Limit 3\n",
    "\"\"\"\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68d562d3",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R16: There are speeches that may be shared on channels that do not allow interaction with the audience."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3178478",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?content where { \n",
    "    ?speech a podio:Expository;\n",
    "              podio:content ?content.\n",
    "    \n",
    "} Limit 3\n",
    "\"\"\"\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64209ba0",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R17: Speeches shared in digital communities should implement the basic mechanics of interaction (reply, mention, thread, hashtags, post, repost, follow, and share content)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7bf6f9a9",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?p where { \n",
    "    ?speech a podio:Conversational;\n",
    "              ?p ?o.\n",
    "    \n",
    "} \n",
    "\n",
    "\"\"\"\n",
    "run_query(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7800861c",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### R18: The laws approved by political parties and their electoral proposals are speeches that do not allow for direct interaction with the audience."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d8c8a24",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "select DISTINCT ?speech where { \n",
    "    VALUES ?clases {\n",
    "        podio:PolicyProposal\n",
    "        podio:ApprovedPolicy\n",
    "    }\n",
    "    ?speech a ?clases;\n",
    "              a podio:Expository.\n",
    "    \n",
    "} \n",
    "\"\"\"\n",
    "run_query(query)"
   ]
  },
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   "source": [
    "### R19: It should be possible to explore the existing laws in the Lynx knowledge graph."
   ]
  },
  {
   "cell_type": "code",
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   "id": "0d154bb6",
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   "source": [
    "query= \"\"\"\n",
    "PREFIX dc: <http://purl.org/dc/elements/1.1/>\n",
    "PREFIX dcam: <http://purl.org/dc/dcam/>\n",
    "PREFIX eli: <http://data.europa.eu/eli/ontology#>\n",
    "PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n",
    "PREFIX lkg: <http://lkg.lynx-project.eu/def/>\n",
    "PREFIX nif-core: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "PREFIX podio: <http://w3id.org/podio#>\n",
    "PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "PREFIX schema: <http://schema.org/>\n",
    "PREFIX sioc: <http://rdfs.org/sioc/ns#>\n",
    "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n",
    "PREFIX terms: <http://purl.org/dc/terms/>\n",
    "PREFIX vann: <http://purl.org/vocab/vann/>\n",
    "PREFIX xml: <http://www.w3.org/XML/1998/namespace>\n",
    "PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "PREFIX wikibase: <http://wikiba.se/ontology#>\n",
    "PREFIX bd: <http://www.bigdata.com/rdf#>\n",
    "\n",
    "SELECT (?juris as ?jurisdiction) ?year ?s_text\n",
    "WHERE {\n",
    "    \n",
    "        SERVICE <http://sparql.lynx-project.eu/> {\n",
    "            ?s a lkg:Legislation ;\n",
    "                nif:isString ?s_text ;\n",
    "                lkg:metadata ?metadata .\n",
    "            ?metadata eli:jurisdiction ?juris ;\n",
    "                eli:version_date ?date ;\n",
    "                eli:id_local ?id ;\n",
    "                terms:source ?source .\n",
    "        }\n",
    "    \n",
    "    BIND(year(?date) as ?year)\n",
    "    \n",
    "} LIMIT 10\n",
    "\"\"\"\n",
    "run_query(query)"
   ]
  }
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