66
results
  • roh - The ASIO ontology
    http://w3id.org/roh
    An ontology to address the Research Management of the CRUE's Spanish University System (Sistema Universitario Español) by applying an encompassing model not only capable of addressing the universities of the CRUE but also more belonging to the European Union. @en
  • km4c - km4city, the DISIT Knowledge Model for City and Mobility
    http://www.disit.org/km4city/schema
    A Knowledge Model to describe a smart city, that interconnect data from infomobility service, Open Data and other source @en
  • duv - Dataset Usage Vocabulary
    http://www.w3.org/ns/duv
    The Dataset Usage Vocabulary (DUV) is used to describe consumer experiences, citations, and feedback about datasets from the human perspective. @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
  • istex - Istex ontology for scholarly documents and extracted entities
    https://data.istex.fr/ontology/istex#
    ISTEX is a platform that aims to provide the entire French higher education and research community with an online access to retrospective collections of scientific literature in all disciplines. This unparalleled reservoir of multidisciplinary resources is complemented by a significant number of value-added services that can be used to optimise operations through content discovery and interactive valuation tools. @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
  • edu - Education Ontology
    https://schema.edu.ee/
    The ontology describes the main concepts in the field of education and the connections between them. The current version emphasizes the details of the study material, learning outcomes and the curriculum. @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
  • ddesc - Denotative Description Ontology (ArCo network)
    https://w3id.org/arco/ontology/denotative-description
    The Denotative Description module encodes the characteristics of a cultural property, as detectable and/or detected during the cataloguing process and measurable according to a reference system. Examples include measurements e.g. length, constituting materials e.g. clay, employed techniques e.g. melting, conservation status e.g. good, decent, bad. In this module are used as template the following Ontology Design Patterns: - http://www.ontologydesignpatterns.org/cp/owl/collectionentity.owl - http://www.ontologydesignpatterns.org/cp/owl/classification.owl - http://www.ontologydesignpatterns.org/cp/owl/descriptionandsituation.owl - http://www.ontologydesignpatterns.org/cp/owl/situation.owl @en
  • arco - Core Ontology (ArCo network)
    https://w3id.org/arco/ontology/core
    The Core module represents general-purpose concepts orthogonal to the whole network, which are imported by all other ontology modules (e.g. part-whole relation, classification). @en