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  • tribont-equipment - Equipment module
    https://w3id.org/tribont/equipment
    The goal of this module is to represent the equipment hierarchy model involved in the tribological experiments. @en
  • tribont-material - Material module
    https://w3id.org/tribont/material
    The goal of this module is to represent the materials that can be involved in the tribological experiments as part of the tested samples. @en
  • tribont - TribOnt ontology
    https://w3id.org/tribont
    The goal is to represent the tribological experiments by relaying on the representation included in the core,, sample and equipment modules. @en
  • tribont-core - Core module
    https://w3id.org/tribont/core
    The goal of this module is to represent the common classes, and object and data properties included in two or more modules of the TribOnt ontology. @en
  • tido - The Threat Intelligence Decision Ontology
    https://w3id.org/tido#
    The TIDO ontology can be used to describe the decision processes within the threat intelligence domain @en
  • tribont-sample - Sample module
    https://w3id.org/tribont/sample
    The goal of this module is to represent the sample systems , and the undelaying samples, involved in the tribological experiments. @en
  • olca - Ontology Loose Coupling Annotation
    https://w3id.org/vocab/olca
    A vocabulary defining annotations enabling loose coupling between classes and properties in ontologies. Those annotations define with some accuracy the expected use of properties, in particular across vocabularies, without the formal constraints entailed by the use of OWL or RDFS constructions @en
  • sdm - SPARQL endpoint metadata
    https://w3id.org/vocab/sdm
    A small vocabulary for representing SPARQL endpoint metadata on the web @en
  • vpa - ERA ontology for verified permissions
    https://w3id.org/vpa
    ERA ontology for verified permissions, as applied in vehicle(type) authorisations, registrations and approvals @en
  • vair - Vocabulary of AI Risks
    https://w3id.org/vair
    VAIR is a taxonomy of AI and risk concepts. @en
  • rico - International Council on Archives Records in Contexts Ontology (ICA RiC-O)
    https://www.ica.org/standards/RiC/ontology
    RiC-O (Records in Contexts-Ontology) is an OWL ontology for describing archival record resources. As the second part of Records in Contexts standard, it is a formal representation of Records in Contexts Conceptual Model (RiC-CM). The current official version is <html:strong>v0.2</html:strong>; it is compliant with RiC-CM v0.2 full draft, that will be published in February or March 2021, and that is slightly different from <html:a href="https://www.ica.org/sites/default/files/ric-cm-0.2_preview.pdf">RiC-CM v0.2 preview, that was published in December 2019. RiC-O provides a generic vocabulary and formal rules for creating RDF datasets (or generating them from existing archival metadata) that describe in a consistent way any kind of archival record resource. It can support publishing RDF datasets as Linked Data, querying them using SPARQL, and making inferences using the logic of the ontology. @en
  • hctl - Hypermedia Controls Ontology
    https://www.w3.org/2019/wot/hypermedia#
    Ontology designed to provide an RDF representation of Hypermedia Controls, in particular links and forms. @en
  • sur - The Survey Ontology
    https://www.w3id.org/survey-ontology
    Ontology for surveys based on the Coney data model. @en
  • sstim
    https://w3id.org/sstim