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
oso- Observatories of the Seas Ontology (OSO)
http://www.w3.org/ns/prov-o
Ontology describing the relationships between Regional Facilities, Sites, Platforms, Research Infrastructures, Organisations, Cruises, and the persons in charge of each level. @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
tax- EUTaxO - EUdaphobase Taxonomy Ontology
https://w3id.org/EUTaxO
EUdaphobase Taxonomy Ontology for the European Soil-Biology Data Warehouse for Soil Protection @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
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
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
dpv- Data Privacy Vocabulary (DPV)
https://w3id.org/dpv
The Data Privacy Vocabulary (DPV) provides terms (classes and properties) to represent information about processing of personal data, for example - purposes, processing operations, personal data, technical and organisational measures. @en