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  • 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
  • whois - Who's who description vocabulary
    http://www.kanzaki.com/ns/whois
    A vocabulary to describe a person's profile and history @en
  • con - Contact
    http://www.w3.org/2000/10/swap/pim/contact
    Utility concepts for everyday life @en
  • tmo - Translational Medicine Ontology
    http://www.w3.org/2001/sw/hcls/ns/transmed/
    The Translational Medicine Ontology (TMO) is a high-level, patient-centric ontology that extends existing domain ontologies to integrate data across aspects of drug discovery and clinical practice. The ontology has been developed by participants in the World Wide Web Consortium's Semantic Web for Health Care and Life Sciences Interest Group @en
  • vcard - An Ontology for vCards
    http://www.w3.org/2006/vcard/ns
    This ontology models and represents vCards in RDF using current best practices @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
  • person - ISA Programme Person Core Vocabulary
    http://www.w3.org/ns/person
    The Person Core Vocabulary provides a minimum set of classes and properties for describing a natural person @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
  • foaf - Friend of a Friend vocabulary
    http://xmlns.com/foaf/0.1/
    FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. @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
  • 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