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  • medred - MedRed ontology: clinical data acquisition model
    http://w3id.org/medred/medred#
    This ontology aims to model generic Medical Data Acquisition Instruments, which can be interoperable across different clinical data management systems. The ontology is developed in the context of the MedRed project (https://www.hevs.ch/en/rad-institutes/institute-of-information-systems/projects/medical-research-data-acquisition-platform-14092) @en
  • demlab - Dem@Care Lab Ontology for Dementia Assessment
    http://www.demcare.eu/ontologies/demlab.owl
    The ontology has been developed in the framework of the Dem@Care project for representing the experimentation protocol towards diagnostic support and assessment of Dementia in a controlled environment. The aim of the protocol is to provide a brief overview of their health status of the participants during consultation (cognition, behaviours and function), and to correlate the system (sensor) data with the data collected using typical dementia care assessment tools. @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
  • 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
  • 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
  • tro - Transparent Relations Ontology
    https://w3id.org/TRO
    A vocabulary to represent relations that should be more transparent, usually between powerfull people or institutions @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
  • coach - Character of a Character Ontology (COACH)
    https://w3id.org/coach#
    This ontology describes a person character as a vector of demographic traits, each dimension refers to a concept contained within a specific taxonomy or to an instance of a wikidata item. @en