The goal of this module is to represent the equipment hierarchy model involved in the tribological experiments. @en
vair- Vocabulary of AI Risks
https://w3id.org/vair
VAIR is a taxonomy of AI and risk concepts. @en
gtm- Gouda Time Machine Ontology
https://www.goudatijdmachine.nl/def
The Gouda Time Machine Ontology describes the geo-temporal classes and properties used within the Gouda Time Machine. @en
gleif-geo- Global Legal Entity Identifier Foundation Geocoding Ontology
https://www.gleif.org/ontology/Geocoding/
Ontology defining concepts for Geocoding of addresses. It is based on the geocoding used in the Global Legal Entity Identifier Foundation (GLEIF) Golden Copy Data, but is more broadly applicable. @en
sdm- SPARQL endpoint metadata
https://w3id.org/vocab/sdm
A small vocabulary for representing SPARQL endpoint metadata on the web @en
vpa- ERA ontology for verified permissions
https://w3id.org/vpa
ERA ontology for verified permissions, as applied in vehicle(type) authorisations, registrations and approvals @en
gleif-base- Global Legal Entity Identifier Foundation Base Ontology
https://www.gleif.org/ontology/Base/
Ontology defining generic concepts for reuse by other Global Legal Entity Identifier Foundation (GLEIF) ontologies. It defines generic classes for (legal) Entities and their relationships and statuses; and generic properties for different types of name and address. It makes use of the OMG Languages Countries and Codes (LCC) ontology (based on the ISO 3166 standard) for country and region information. @en
sur- The Survey Ontology
https://www.w3id.org/survey-ontology
Ontology for surveys based on the Coney data model. @en