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rdft - The RDF 1.1 Test Vocabulary http://www.w3.org/ns/rdftest This is a vocabulary document and is used to define classes and properties used in RDF 1.1 Test Cases and associated test manifests. The URI of the vocabulary is http://www.w3.org/ns/rdftest# (abbreviated by rdft: in this document). Turtle and an JSON-LD versions of the vocabulary are also available. The vocabulary is published by W3C. @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 -
sd - SPARQL 1.1 Service Description http://www.w3.org/ns/sparql-service-description A vocabulary for describing SPARQL services made available via the SPARQL 1.1 Protocol for RDF. These descriptions provide a mechanism by which a client or end user can discover information about the SPARQL service such as supported extension functions and details about the available dataset. @en -
ssn - Semantic Sensor Network Ontology http://www.w3.org/ns/ssn/ This ontology describes sensors, actuators and observations, and related concepts. It does not describe domain concepts, time, locations, etc. these are intended to be included from other ontologies via OWL imports. @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 -
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 -
rml-core http://w3id.org/rml/core -
rml-fnml http://w3id.org/rml/fnml/ -
rml-io http://w3id.org/rml/io/ -
rml-cc http://w3id.org/rml/cc/ -
rml-star http://w3id.org/rml/star/