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results
  • ct - Connectivity types
    http://www.tele.pw.edu.pl/~sims-onto/ConnectivityType.owl
    Defines types of connectivity used in communication and bearer services accessible in certain connectivity. @en
  • ontosec - Ontology Security
    http://www.semanticweb.org/ontologies/2008/11/OntologySecurity.owl
    This ontology covers the domain of security in the field of mobile applications. @en
  • test - Test Metadata
    http://www.w3.org/2006/03/test-description
    This ontology aims at defining the Quality Assurance Framework by collecting the test development experience of W3C Working Groups and summarizing the work done about tests and metadata. @en
  • cert - The Cert Ontology
    http://www.w3.org/ns/auth/cert#
    Ontology for Certificates and crypto stuff. @en
  • dqv - Data Quality Vocabulary
    http://www.w3.org/ns/dqv
    The Data Quality Vocabulary (DQV) is seen as an extension to DCAT to cover the quality of the data, how frequently is it updated, whether it accepts user corrections, persistence commitments etc. When used by publishers, this vocabulary will foster trust in the data amongst developers. @en
  • earl - Evaluation and Report Language
    http://www.w3.org/ns/earl
    EARL is a vocabulary, the terms of which are defined across a set of specifications and technical notes, and that is used to describe test results. The primary motivation for developing this vocabulary is to facilitate the exchange of test results between Web accessibility evaluation tools in a vendor-neutral and platform-independent format. It also provides reusable terms for generic quality assurance and validation purposes. @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
  • 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
  • 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
  • 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
  • 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
  • sw-quality - SQuAP Ontology
    https://w3id.org/squap/
    Quality, architecture, and process are considered the keystones of software engineering. ISO defines them in three separate standards. However, their interaction has been poorly studied, so far. The SQuAP model (Software Quality, Architecture, Process) describes twenty-eight main factors that impact on software quality in banking systems, and each factor is described as a relation among some characteristics from the three ISO standards. Hence, SQuAP makes such relations emerge rigorously, although informally. SQaAP-Ont is an OWL ontology that formalises those relations in order to represent and reason via Linked Data about software engineering in a three-dimensional model consisting of quality, architecture, and process characteristics. @en
  • sri - Smart Readiness Indicator Vocabulary
    https://w3id.org/sri
    A vocabulary specifying concepts and structures needed to represent different data cubes needed for the Smart Readiness Indicator. @en