Digital Twin ontology used to define Digital Twins and Semantic Digital Twins and aggregations by dimensions using Web of Things.
WoTDT: The WoT Digital Twin Ontology with Aggregation extension.
Property that describes de action of aggregation between two different entities or dtw:DigitalTwinAggregate.
Property that describes de action of aggregation between two different entities or dtw:DigitalTwinInstance.
td:InteractionAffordance uses dtw:Model to model something.
Property that describes the different interaction affordances that the dt:DigitalTwinServices contains.
Property that describes the different connections of the dtw:DigitalTwin.
Property that describes if the connection point is the consumer of the information.
Property that describes the different data that the dt:DigitalTwinData contains.
Property that describes the different Digital Entities that the digital twin contains.
Property that describes the Entity that the digital twin describes.
Property that describes the different extension formats that the models or data can be found.
Property that describes the different models that the dtw:DigitalEntity contains.
Property that describes if the connection point is the provider of the information.
dcat:Resource instantiate dtw:Model.
dtw:Model used in the aggregation to obtain the DTwA dtw:Model.
dtw:Model models dcat:Resource.
dcat:Resource used in the aggregation to obtain the DTwA dcat:Resource.
td:InteractionAffordance uses dcat:Resource for a reason.
dcat:Resource used by td:InteractionAffordance for a reason.
dtw:Model used by td:InteractionAffordance to model something.
Extension of the model or data with which can be found.
Boolean that indicates if the concept is inside or outside the digital twin.
Describes the behaviors and response mechanisms of the entity (e.g. state transition, performance and disturbances)
Existing connection between different dtw:ConnectionPoint.
Connection point of the connection.
Connection between dcat:Resource and td:InteractionAffordance.
This dimension of the digital twin consists of various data models that represents all the information allocated in the digital twin.
A realistic representation of all product life cycle components using physical, virtual and interaction data.
Describes the aggregation of all the DTIs. Unlike the DTI, the DTA may not be an independent data structure. It may be a computing construct that has access to all DTIs and queries them either ad-hoc or proactively.
Dimensions of which the digital twin is composed.
Describes a specific corresponding physical product that an individual Digital Twin remains linked to throughout the life of that physical product.
This dimension of the digital twin consists of various subsystems, objects and sensory devices. These subsystems can include dynamic systems, control systems, maintenance systems, etc., and can be combined for a specific task. Also, non physical entities can be represented.
Connection point of the connection that is external to the DTw.
Extension format in which the model or data is available.
Describes all the geometric parameters of the physical entity (e.g. shapes, sizes and assembly relations).
Connection point of the connection that is internal to the DTw.
Model that allows the alignment of data with the objective of obtaining harmonised data from non-harmonised data.
Representation or conceptualization of the data registered in the Virtual Entity dimension.
Connection between dtw:Model and dcat:Resource.
Connection between dtw:Model and td:InteractionAffordance.
Model that contains the conceptualization of the information of the digital twin. This conceptualization activity refers to the organization and structuration of the information (data, knowledge, etc.), obtained during the acquisition process, into meaningful models at the knowledge level and according to the ontology requirements specification document.
Responsible for providing all the physical properties (e.g. speed and force) based on dt:GeometricModel
A set of rules extracted from the historical data obtained from the physical model, whose function is to provide the virtual entity with a judgment for decision making, optimization, evaluation, prediction and maintenance.
Model that contains the data validation rules allowing the data to be validated.