This is a vocabulary document and is used to define classes and properties used in
RDF 1.1 Test Cases and associated test manifests.
The URI of the vocabulary is http://www.w3.org/ns/rdftest# (abbreviated by rdft: in this document).
Turtle and an JSON-LD versions of the vocabulary are also available.
The vocabulary is published by W3C. @en
rov- Registered Organization Vocabulary
http://www.w3.org/ns/regorg
The Registered Organization Vocabulary is a profile of the Organization Ontology for describing organizations that have gained legal entity status through a formal registration process, typically in a national or regional register. @en
sh- W3C Shapes Constraint Language (SHACL) Vocabulary
http://www.w3.org/ns/shacl#
This vocabulary defines terms used in SHACL, the W3C Shapes Constraint Language. @en
sd- SPARQL 1.1 Service Description
http://www.w3.org/ns/sparql-service-description
A vocabulary for describing SPARQL services made available via the SPARQL 1.1 Protocol for RDF. These descriptions provide a mechanism by which a client or end user can discover information about the SPARQL service such as supported extension functions and details about the available dataset. @en
ssn- Semantic Sensor Network Ontology
http://www.w3.org/ns/ssn/
This ontology describes sensors, actuators and observations, and related concepts. It does not describe domain concepts, time, locations, etc. these are intended to be included from other ontologies via OWL imports. @en
This document specifies the D2RQ mapping language. D2RQ is a declarative language to describe mappings between relational database schemata and OWL/RDFS ontologies. @en
rr- RDB to RDF Mapping Language Schema
http://www.w3.org/ns/r2rml#
A vocabulary which can be used to specify a mapping of relational data to RDF. @en
ibis- IBIS Vocabulary
https://privatealpha.com/ontology/ibis/1#
This document specifies a vocabulary for describing an IBIS (issue-based information system). @en
ce- CityExplorer Ontology
https://purl.org/cityexplorer
This ontology models personalized tourist experiences by representing cities, points of interest, events, accommodations, restaurants, transportation, and their relationships. This ontology is part of a university project. @en
s4grid- SAREF4GRID: an extension of SAREF for the Smart Grid domain
https://saref.etsi.org/saref4grid/
The development of the SAREF4GRID ontology has been partially funded by the IA4TES project (MIA.2021.M04.0008), funded by the Spanish Ministry of Economic Affairs and Digital Transformation and by the NextGenerationEU program @en
eccrev- RDF changes and revisions vocabulary
https://vocab.eccenca.com/revision/
A vocabulary & data model for describing RDF changes and revisions. It defines the Commit & Revision classes together with their expected properties. @en
gcon- GConsent - a consent ontology based on the GDPR
https://w3id.org/GConsent
GConsent provides concepts and relationships for defining consent and its associated information or metadata with a view towards GDPR compliance. It is the outcome of an analysis of consent and requirements associated with obtaining, using, and changes in consent as per the GDPR. The ontology also provides an approach to using its terms in various scenarios and use-cases (see more information in the documentation) which is intended to assist in its adoption. @en
gdprt- GDPR text EXTensions
https://w3id.org/GDPRtEXT
The General Data Protection Regulation (GDPR) is comprised of several articles, each with points that refer to specific concepts. The general convention of referring to these points and concepts is to quote the specific article or point using a human-readable reference. This ontology provides a way to refer to the points within the GDPR using the EurLex ontology published by the European Publication Office. It also defines the concepts defined, mentioned, and requried by the GDPR using the Simple Knowledge Organization System (SKOS) ontology. @en
gdprov- The GDPR Provenance ontology
https://w3id.org/GDPRov
GDPRov is an OWL2 ontology to express provenance metadata of consent and data lifecycles towards documenting compliance for GDPR. @en
airo- AI Risk Ontology
https://w3id.org/airo
AIRO represents AI risk concepts and relations based on the AI Act draft and ISO 31000 standard series. @en