{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Working with RDF data in python\n", "\n", "Raphael Leung\n", "\n", "Open data serves a public good. It boosts transparency, accountability, and creates economic value (£16 billion a year, [according to Deloitte](https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/deloitte-analytics/open-growth.pdf)). Folks at the [ODI](https://theodi.org/knowledge-opinion/) and [Open Data Camp](http://odcamp.org.uk/) have written more about that.\n", "\n", "I've been working at the UK Parliamentary Digital Service on open data. Under the hood, we turn open parliamentary data from sources (mostly relational stores) into a graph with an ETL process, which is then exposed via APIs and consumed by, among others, beta.parliament.uk. ([technical details](https://medium.com/@langsamu/api-parliament-uk-7b87597019a4)).\n", "\n", "### What's RDF?\n", "\n", "But what graph and why? There are [many types and models](https://en.wikipedia.org/wiki/Network_science) of graphs. Commonly, the term [property graph](https://github.com/tinkerpop/gremlin/wiki/Defining-a-Property-Graph) has come to denote an attributed, multi-relational graph, i.e a graph where the edges are labeled and both vertices and edges can have any number of key/value properties associated with them. This (labeled) property graph model is commonly seen in graph databases like neo4j and some network sciences analysis. While related and increasingly commercially commonplace, here, we discuss the RDF model instead.\n", "\n", "Unlike other graph models, Resource Description Framework ([RDF](https://en.wikipedia.org/wiki/Resource_Description_Framework)) is a W3C specification. Its standard query language is called SPARQL Protocol and RDF Query Language (yes, the \"S\" in SPARQL stands for SPARQL). Along with the Web Ontology Language (OWL), these standards commonly feature in discussions about [the semantic web](https://www-sop.inria.fr/acacia/cours/essi2006/Scientific%20American_%20Feature%20Article_%20The%20Semantic%20Web_%20May%202001.pdf), [linked open data](https://5stardata.info/en/), and knowledge graphs. \n", "\n", "### The semantic web... is it alive or dead?! Should I care?\n", "\n", "RDF has been championed by, among others, [ODI founders](https://theodi.org/about-the-odi/odi-team/) Tim Berners-Lee and Nigel Shadbolt. They have knighthoods and Sir Tim is the inventor of the World Wide Web! They must know what they're saying.\n", "\n", "But, over the years, there're others who disagree ([Exhibit A](http://blog.diffbot.com/rip-the-semantic-web/), [Exhibit B](http://manu.sporny.org/2014/json-ld-origins-2/)). If you have appetite for this sort of thing, [just put \"is the semantic web dead?\" into your search engine of choice](http://lmgtfy.com/?q=is+the+semantic+web+dead%3F) and you'll get many counter-opinions. \n", "\n", "Without stoking any fires, here's a quick, hopefully-neutral summary:\n", "\n", "* While RDF (adopted as W3C recommendation in 1999; RDF 1.0 published in 2004) has not taken off as other W3C standards have, it is still used in many domains (see [linked data cloud](http://lod-cloud.net/)).\n", "* It's been especially used in government linked data infrastructures across the world, including legislation.gov.uk and data.gov.uk (see [webinars](https://dl.dropboxusercontent.com/s/vgmhmwd8e01bks8/external.xhtml?dl=0), [re-usable ontologies](https://eur-lex.europa.eu/eli-register/about.html), [vocabularies](http://lov.okfn.org/dataset/lov/)).\n", "* There are troves of web data in RDF already, e.g. [wikidata](https://query.wikidata.org/), that would be even more valuable if linked. Indeed, some say linked open data enables large-scale data integration between domains so you can ask more questions from a contextually-relevant graph. \n", "* As publishers of open data, if others (humans and machines) can more easily discover and/or re-use your data, you potentially have greater value and impact for your investment.\n", "* Adoption of RDF may be slow due to its relative complexity in implementation. \n", " * Some inference rulesets make an RDF store grow exponentially in statements. That said, open-source and commercial RDF stores have been increasingly bolstered, optimized, and integrated with current technologies and infrastructures. (We've come a long way since the [Berlin SPARQL Benchmark](https://pdfs.semanticscholar.org/0efc/d1d38ad020da7c01613b7818eb123cb34121.pdf) found relational stores to be much more performant than RDF stores in 2008, the same year SPARQL 1.0 became a W3C recommendation.) In late 2017, the world's biggest cloud provider launced a [product](https://aws.amazon.com/neptune/) that supports RDF and its standard query language SPARQL. Neptune doesn't currently support inference.\n", " * Some point out that open data should be as easy to access and use as possible, regardless of technical skill.\n", " * Accessing RDF data from a SPARQL endpoint requires a query language that many users do not know. The open data publisher can, however, package SPARQL queries/ serialize data into other more common formats/ expose via protocols like OData/ use creative visualizations and interfaces/ otherwise make the data more accessible. This, however, requires investment of resources and time.\n", "* Some intended benefits of RDF and OWL are not necessarily tied to the formats themselves, e.g. a lot of the benefits can be achieved with stable unique identifiers and good data governance. \n", "* Semantic web standards play well with a suite of tools and concepts in taxonomy and knowledge management (particularly well-adopted in LIS).\n", "\n", "### What's support for RDF data in python like?\n", "\n", "Our ETL pipeline for data orchestration is in C# and uses an open-source library called [dotNetRDF](http://www.dotnetrdf.org/). \n", "\n", "But, in the vein of making it easier to access and understand, can we easily work with RDF data in python?\n", "\n", "To find out, I first try to load some data from a pandas dataframe into an RDF store (Part 1). \n", "\n", "Then I try to query an RDF store and try to turn the results into pandas dataframes (Part 2). \n", "\n", "### Part 1: Pandas dataframe → RDF" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import rdfpandas.graph\n", "import pandas as pd\n", "import rdflib\n", "import requests" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Create relational version of some sample RDF data" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttps://id.parliament.uk/schema/houseNamehttps://id.parliament.uk/schema/househasHouseSeat
https://id.parliament.uk/1AFu55Hshttps://id.parliament.uk/schema/HouseHouse of Commonshttps://id.parliament.uk/Z7YQPdng
https://id.parliament.uk/WkUWUBMxhttps://id.parliament.uk/schema/HouseHouse of Lords
\n", "
" ], "text/plain": [ " http://www.w3.org/1999/02/22-rdf-syntax-ns#type \\\n", "https://id.parliament.uk/1AFu55Hs https://id.parliament.uk/schema/House \n", "https://id.parliament.uk/WkUWUBMx https://id.parliament.uk/schema/House \n", "\n", " https://id.parliament.uk/schema/houseName \\\n", "https://id.parliament.uk/1AFu55Hs House of Commons \n", "https://id.parliament.uk/WkUWUBMx House of Lords \n", "\n", " https://id.parliament.uk/schema/househasHouseSeat \n", "https://id.parliament.uk/1AFu55Hs https://id.parliament.uk/Z7YQPdng \n", "https://id.parliament.uk/WkUWUBMx " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pd.DataFrame(data = {\n", " 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type': ['https://id.parliament.uk/schema/House', 'https://id.parliament.uk/schema/House'], \n", " 'https://id.parliament.uk/schema/houseName': ['House of Commons', 'House of Lords'], \n", " 'https://id.parliament.uk/schema/househasHouseSeat': ['https://id.parliament.uk/Z7YQPdng', \"\"], \n", " }, \n", " index=['https://id.parliament.uk/1AFu55Hs', 'https://id.parliament.uk/WkUWUBMx'])\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Convert dataframe to RDF graph\n", "\n", "Turtle is one RDF serialization format. Others include N-triples, N-Quads, RDF/XML, JSON-LD, TriG, TriX [etc](https://en.wikipedia.org/wiki/Resource_Description_Framework#Serialization_formats)." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n" ] }, { "data": { "text/plain": [ "b'@prefix ns1: .\\n@prefix rdf: .\\n@prefix rdfs: .\\n@prefix xml: .\\n@prefix xsd: .\\n\\n a \"https://id.parliament.uk/schema/House\" ;\\n ns1:houseName \"House of Commons\" ;\\n ns1:househasHouseSeat \"https://id.parliament.uk/Z7YQPdng\" .\\n\\n a \"https://id.parliament.uk/schema/House\" ;\\n ns1:houseName \"House of Lords\" ;\\n ns1:househasHouseSeat \"\" .\\n\\n'" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "graph = rdfpandas.graph.to_graph(df)\n", "\n", "payload = graph.serialize(format='turtle')\n", "print(type(payload))\n", "payload" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Initialize empty triplestore\n", "\n", "This example uses a free version of [GraphDB](https://ontotext.com/products/graphdb/) 8.5.0.\n", "\n", "If you're interested in the history, this particular RDF store is developed by a company in Sofia, Bulgaria called [Ontotext](https://en.wikipedia.org/wiki/Ontotext), starting around early 2000s. It was previously called OWLIM. It supports open-source RDF framework [Seasame](https://en.wikipedia.org/wiki/Sesame_(framework) which then became RDF4J. They have [blogged](https://ontotext.com/ontotexts-graphdb-powers-uk-parliament-data-service/) about UK Parliament's data service. At the time of writing, db-engines ranks them as the [\\#7 RDF store](https://db-engines.com/en/ranking/rdf+store).\n", "\n", "See db-engines link for alternative triplestores.\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of statements in repository: 0\n" ] }, { "data": { "image/png": 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Ve5MsC5I5OL68QFirhbAWsYHoLaw9LBui5pbd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\ne6PWzQX7iFxRHywdxxFRty+P5+7W7PX63T65pFkXU6cKs89+KqGhjh6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3tk7lC5q017GTzXep+PvGc+pH0fbPHgRFkf857p8X6O9348YKz174HOFHu2exAAUoOwFhEDadDR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ggh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\nBQCYbl0B0sZfNjcrAABQhVgLECDWAgBMt64AaeMvm5sVAACoQqw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"text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "r = requests.get(\"http://localhost:7200/repositories/Master/size\")\n", "print(\"Number of statements in repository: \", r.text)\n", "\n", "from IPython.display import Image\n", "Image(filename='triplestore_before.png')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load RDF data into triplestore" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "HTTP response code: 204\n" ] } ], "source": [ "url = 'http://localhost:7200/repositories/Master/statements'\n", "headers = {'Content-Type':'text/turtle'}\n", "r = requests.request(method='POST', url=url, data=payload, headers=headers)\n", "print(\"HTTP response code: \", r.status_code)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of statements in repository: 6\n" ] }, { "data": { "image/png": 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RlsttXBMOTjNwK6CcNdSmnIqkaDhrv1CHaFTSPcrQsR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\n3z+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xlNVTRd1s6AkhhBBCCFEFla6LVXwgq2KdKKWNS7YzlIZPnk+UNm3dvLdxP9ytzkBZ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2rblwexL2lfQ2dCGLFcpJHr4z0N8v2cdKxSeiyhOcfMaRtQvEGebuiGKlyJp7uBbRvt+1p1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"text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "r = requests.get(\"http://localhost:7200/repositories/Master/size\")\n", "print(\"Number of statements in repository: \", r.text)\n", "\n", "from IPython.display import Image\n", "Image(filename='triplestore_after.png')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There was previous talk of adding RDF support for linked datasets into `pandas` which did not happen (see [thread](https://github.com/pandas-dev/pandas/issues/3402)). There have been attempts to develop such support in supplementary packages, funnily enough named [`pandasrdf`](https://github.com/westurner/pandasrdf) and [`rdfpandas`](https://github.com/cadmiumkitty/rdfpandas), both of which do not currently have active development communities around them. \n", "\n", "The above example uses the latter. There are indeed some issues here, the major ones being the package treats IRIs as literals, and it doesn't deal with nulls/ blanks correctly (see [RDF specs](https://www.w3.org/TR/rdf11-concepts/#section-IRIs) for more on IRIs). \n", "\n", "Suffice it to say there isn't currently a great ecosystem of support for RDF in python, definitely at least compared to what dotNetRDF offers in C#. There're better ways of orchestrating data into a triplestore than with a python pipeline. \n", "\n", "That said, the above demonstrates the basic feasibility of convert some relational data into RDF and loading it into a triplestore in python, notwithstanding issues when the pipeline scales. \n", "\n", "Perhaps more usefully, how about the other way round?\n", "\n", "### Part 2: RDF → pandas dataframe " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This uses the `SPARQLWrapper` package from `RDFLib`. \n", "\n", "I use this package as it recently added support for custom HTTP headers ([commit](https://github.com/RDFLib/sparqlwrapper/commit/66fbbbc1a44609e0f0e89e8fb41fe88fc2cbedd2)).\n", "\n", "The UK Parliament SPARQL endpoint, while read-only and rate-limited, is currently under development and requires a subscription key. This is passed in the HTTP POST request in a header." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from SPARQLWrapper import SPARQLWrapper2\n", "\n", "wrapper = SPARQLWrapper2(\"https://api.parliament.uk/Live/sparql-endpoint/master?\")\n", "wrapper.customHttpHeaders = {'Content-Type': 'application/sparql-query', 'Ocp-Apim-Subscription-Key': 'INSERT_KEY'}" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from SPARQLWrapper import XML, GET, POST, JSON, JSONLD, N3, TURTLE, RDF, SELECT, INSERT, RDFXML, CSV, TSV\n", "from SPARQLWrapper import URLENCODED, POSTDIRECTLY\n", "\n", "wrapper.setQuery(\"\"\"\n", "PREFIX : \n", "SELECT ?displayAs ?houseName ?weblink\n", "WHERE {\n", " ?person a :Person .\n", " OPTIONAL { ?person :personGivenName ?givenName } .\n", " OPTIONAL { ?person :personFamilyName ?familyName } .\n", " OPTIONAL { ?person ?displayAs } .\n", " OPTIONAL { ?person :personHasPersonWebLink ?weblink } .\n", " \n", " ?person :memberHasParliamentaryIncumbency ?incumbency .\n", " FILTER NOT EXISTS { ?incumbency a :PastParliamentaryIncumbency . }\n", " FILTER NOT EXISTS {\n", " ?incumbency :incumbencyHasIncumbencyInterruption ?interruption.\n", " FILTER NOT EXISTS {\n", " ?interruption :endDate ?end.\n", " }\n", " }\n", " ?incumbency :seatIncumbencyHasHouseSeat ?houseSeat .\n", " ?houseSeat :houseSeatHasHouse ?house .\n", " ?house :houseName ?houseName .\n", " FILTER regex(str(?weblink), \"twitter\", \"i\")\n", "}\n", "ORDER BY ?houseName\n", "\"\"\")\n", "wrapper.setMethod(POST)\n", "wrapper.setRequestMethod(POSTDIRECTLY)\n", "results = wrapper.query().convert()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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4Albert OwenHouse of Commonshttps://twitter.com/AlbertOwenMP
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" ], "text/plain": [ " displayAs houseName weblink\n", "0 Adam Afriyie House of Commons https://twitter.com/AdamAfriyie\n", "1 Afzal Khan House of Commons https://twitter.com/Afzal4Gorton\n", "2 Alan Brown House of Commons https://twitter.com/alanbrownsnp\n", "3 Alan Mak House of Commons https://twitter.com/AlanMakMP\n", "4 Albert Owen House of Commons https://twitter.com/AlbertOwenMP" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def extract(binding):\n", " return binding.value\n", "\n", "df.applymap(extract).head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Besides `SELECT`, `SPARQLWrapper` also supports `CONSTRUCT`, `ASK`, and `DESCRIBE` queries. ([docs](https://rdflib.github.io/sparqlwrapper/doc/latest/)).\n", "\n", "Technically, in the above example, we still had to convert the JSON response into a pandas dataframe. A package called `gastrodon` (like the pokemon...) has even better pandas dataframe integration.\n", "\n", "But it currently doesn't support custom HTTP headers when calling a remote SPARQL endpoint." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from gastrodon import RemoteEndpoint,QName,ttl,URIRef,inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here, my example uses the [MusicBrainz SPARQL endpoint](https://wiki.musicbrainz.org/LinkedBrainz). \n", "\n", "They are fairly random queries: the first returns the musical records with high number of tracks (>20), the second shows that apparently most artist names start with the letter `T`.\n", "\n", "Depending on subject interest, there are [many other SPRARQL endpoints](https://www.w3.org/wiki/SparqlEndpoints) from a wide range of organizations and data publishers. They vary quite a bit: some are built in-house and some [out-sourced](https://medium.swirrl.com/), with different backends as well as levels of maintenance. Some vendors may not supoort all parts of the SPARQL 1.1 specification, some may have extensions for additional capability, but the basics should generally be supported. \n", "\n", "If we have a) an endpoint that supports [federated SPARQL queries](https://www.w3.org/TR/sparql11-federated-query/) and b) datasets with classes that are annotated with predicates like [`owl:sameAs`](https://www.w3.org/TR/owl-ref/#sameAs-def), we can start to expand the scope of our questions due to (relatively easy) data linkage between datasets." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": true }, "outputs": [], "source": [ "prefixes=inline(\"\"\"\n", " @prefix mo: .\n", " @prefix mbz: .\n", " @prefix owl: .\n", " @prefix xsd: .\n", " @prefix bio: .\n", " @prefix rdfs: .\n", " @prefix tags: .\n", " @prefix geo: .\n", " @prefix rdf: .\n", " @prefix lingvoj: .\n", " @prefix rel: .\n", " @prefix vocab: .\n", " @prefix event: .\n", " @prefix map: .\n", " @prefix db: .\n", " @prefix foaf: .\n", " @prefix dc: .\n", " \"\"\").graph" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": true }, "outputs": [], "source": [ "endpoint=RemoteEndpoint(\n", " \"http://dbtune.org/musicbrainz/sparql\",\n", " prefixes=prefixes,\n", " base_uri=\"http://dbtune.org/musicbrainz/resource/\"\n", ")" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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artistNamerecordTitletrackslanguagecoverArt
0池頼広ソニックＸ オリジナルサウンドトラックス40jpnhttp://ec1.images-amazon.com/images/P/B0001AEL...
1Fell Venus@37eng
2Various Artistsなるたる30jpnhttp://ec1.images-amazon.com/images/P/B0000C9V...
3田中公平おたくのビデオ30jpnhttp://ec1.images-amazon.com/images/P/B000UVES...
4松谷卓のだめカンタービレ26jpnhttp://ec1.images-amazon.com/images/P/B000MZHT...
5菅野よう子エスカフローネ26jpnhttp://images-jp.amazon.com/images/P/B00005072...
6近藤浩治☆スーパーマリオ☆ ヨッシーアイランド オリジナル・サウンド ヴァージョン26jpnhttp://ec1.images-amazon.com/images/P/B00005FN...
7RUX우린 어디로 가는가25kor
8조영욱싸이보그지만 괜찮아25korhttp://ec1.images-amazon.com/images/P/B000LYE8...
9Various Artistsおもひでぽろぽろ24jpnhttp://ec1.images-amazon.com/images/P/B00005GF...
10Various Artistsうたわれるもの オリジナルサウンドトラック24jpnhttp://ec1.images-amazon.com/images/P/B000065E...
11菅野祐悟ホタルノヒカリ24jpnhttp://ec1.images-amazon.com/images/P/B000TCZ7...
12辻陽トリック オリジナル・サウンドトラック24jpnhttp://ec1.images-amazon.com/images/P/B00005HL...
13増田順一ポケモンひけるかな？21jpnhttp://ec1.images-amazon.com/images/P/B000034C...
14久石譲となりのトトロ20jpnhttp://ec1.images-amazon.com/images/P/B00004RC...
15藤圭子ゴールデン★ベスト20jpnhttp://ec1.images-amazon.com/images/P/B000B63E...
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" ], "text/plain": [ " artistName recordTitle tracks language \\\n", "0 池頼広 ソニックＸ オリジナルサウンドトラックス 40 jpn \n", "1 Fell Venus @ 37 eng \n", "2 Various Artists なるたる 30 jpn \n", "3 田中公平 おたくのビデオ 30 jpn \n", "4 松谷卓 のだめカンタービレ 26 jpn \n", "5 菅野よう子 エスカフローネ 26 jpn \n", "6 近藤浩治 ☆スーパーマリオ☆ ヨッシーアイランド オリジナル・サウンド ヴァージョン 26 jpn \n", "7 RUX 우린 어디로 가는가 25 kor \n", "8 조영욱 싸이보그지만 괜찮아 25 kor \n", "9 Various Artists おもひでぽろぽろ 24 jpn \n", "10 Various Artists うたわれるもの オリジナルサウンドトラック 24 jpn \n", "11 菅野祐悟 ホタルノヒカリ 24 jpn \n", "12 辻陽 トリック オリジナル・サウンドトラック 24 jpn \n", "13 増田順一 ポケモンひけるかな？ 21 jpn \n", "14 久石譲 となりのトトロ 20 jpn \n", "15 藤圭子 ゴールデン★ベスト 20 jpn \n", "\n", " coverArt \n", "0 http://ec1.images-amazon.com/images/P/B0001AEL... \n", "1 \n", "2 http://ec1.images-amazon.com/images/P/B0000C9V... \n", "3 http://ec1.images-amazon.com/images/P/B000UVES... \n", "4 http://ec1.images-amazon.com/images/P/B000MZHT... \n", "5 http://images-jp.amazon.com/images/P/B00005072... \n", "6 http://ec1.images-amazon.com/images/P/B00005FN... \n", "7 \n", "8 http://ec1.images-amazon.com/images/P/B000LYE8... \n", "9 http://ec1.images-amazon.com/images/P/B00005GF... \n", "10 http://ec1.images-amazon.com/images/P/B000065E... \n", "11 http://ec1.images-amazon.com/images/P/B000TCZ7... \n", "12 http://ec1.images-amazon.com/images/P/B00005HL... \n", "13 http://ec1.images-amazon.com/images/P/B000034C... \n", "14 http://ec1.images-amazon.com/images/P/B00004RC... \n", "15 http://ec1.images-amazon.com/images/P/B000B63E... " ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df=endpoint.select(\"\"\"\n", "SELECT ?artistName ?recordTitle ?tracks ?language ?coverArt \n", "WHERE {\n", " ?record a mo:Record;\n", " dc:title ?recordTitle;\n", " foaf:maker ?s;\n", " dc:language ?lang;\n", " vocab:albummeta_coverarturl ?coverArt;\n", " vocab:tracks ?tracks.\n", " ?lang lingvoj:iso2b ?language.\n", " ?s a mo:MusicArtist;\n", " foaf:name ?artistName.\n", " FILTER (?tracks>=20)\n", "}\n", "ORDER BY DESC(?tracks)\n", "\"\"\")\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see `gastrodon` has the nice feature of returning a usable `pandas` dataframe straight from the query.\n", "\n", "It also integrates gracefully with displaying namespaces and turning the `GROUP BY` variable into the df index, as shown below. \n", "\n", "Compared to `SPARQLWrapper`, this saves data wrangling time." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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n_artists
firstLetter
T93
S87
M82
J70
D63
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" ], "text/plain": [ " n_artists\n", "firstLetter \n", "T 93\n", "S 87\n", "M 82\n", "J 70\n", "D 63" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df=endpoint.select(\"\"\"\n", "\n", "SELECT ?firstLetter (COUNT (?s) as ?n_artists) \n", "WHERE {\n", " ?s a mo:MusicArtist;\n", " foaf:name ?artistName.\n", " BIND(UCASE(SUBSTR(?artistName, 1, 1)) AS ?firstLetter)\n", "} \n", "GROUP BY ?firstLetter ORDER BY DESC(?n_artists)\n", "\"\"\")\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "df.plot.bar()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The author of `gastrodon` has written a bunch of interesting notebooks for both local and remote endpoints [here](https://github.com/paulhoule/gastrodon/tree/master/notebooks).\n", "\n", "For more, there is also the [SPARQL Jupyter kernel](https://github.com/paulovn/sparql-kernel) (see [example](https://github.com/cadmiumkitty/rdf-jupyter/blob/master/work/sparql-kernel-example.ipynb) from Semantic Web London meetup). However, as things stand now, the python packages are more user-friendly than the SPARQL kernel as they allow you to put both your SPARQL query and python code in the same notebook." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### So what's the verdict?\n", "\n", "Based on the above, it seems the answer is yes, we can work with RDF data in python. It's imperfect but there are tools that are developing.\n", "\n", "Why might working with RDF data in python be desirable anyway? \n", "- Brings datasets closer to the data science community. Many actively-developed open-source data wrangling, network analysis and ML libraries are in python. Greater interoperability means it's easier for users to generate potential new insights.\n", "- Better re-use and higher visibility. Things like Jupyter notebooks allow for compelling story-telling about potentially large quantities of data, in a way that's easily shared and reproduced. \n", "- There may be data pipelines already built in python that we wish to integrate with. \n", "\n", "If the goal is wider adoption of W3C's semantic web standards and recommendations (RDF, OWL, SPARQL, SKOS etc), then better integration with popular scripting and data analysis languages like python definitely wouldn't hurt.\n", "\n", "It's also worth adding that while python remains one of the most popular tools for data science, some triplestores are adding native ML capabilities (e.g. [Stardog Predictive Analytics API](https://www.stardog.com/docs/#_predictive_analytics?) allows for easier model building, graph-native NLP capabilities), which is quite exciting. There may be concerns of reproducability when RDF data changes. This may be addressed by [reification][reify] (statements about statements) and [provenance](https://www.w3.org/TR/prov-o/) (information about the people and activities that produced the data), which are used in RDF for versioning data/ boosting reliability and trustworthiness.\n", "\n", "[reify]:https://en.wikipedia.org/wiki/Reification_(computer_science)#RDF_and_OWL" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.2" } }, "nbformat": 4, "nbformat_minor": 2 }