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
sh- W3C Shapes Constraint Language (SHACL) Vocabulary
http://www.w3.org/ns/shacl#
This vocabulary defines terms used in SHACL, the W3C Shapes Constraint Language. @en
oa- Open Annotation Data Model
http://www.w3.org/ns/oa#
The Open Annotation Core Data Model specifies an interoperable framework for creating associations between related resources, annotations, using a methodology that conforms to the Architecture of the World Wide Web. This ontology is a non-normative OWL formalization of the textual OA specification at http://www.openannotation.org/spec/core/20130208/index.html @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
wot- Web Of Trust
http://xmlns.com/wot/0.1/
Web Of Trust (wot) RDF vocabulary, described using W3C RDF Schema and the Web Ontology Language. @en
spvqa- Scholarly Papers Vocabulary with Focus on Qualtitative Analysis
https://bmake.th-brandenburg.de/spv
The ontology is aimed at the support of research groups in the field of Business Modeling and Knowledge Engineering (BMaKE) in their collaborative work for qualitatively analyzing scholarly papers as well as sharing the results of that analyses and judgements. @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
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