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  • pko - Procedural Knowledge Ontology (PKO)
    https://w3id.org/pko
    The Procedural Knowledge Ontology (PKO) addresses the Procedural Knowledge (PK) domain, and models procedures, their executions, and related resources and agents. @en
  • swemls - Semantic-Web Machine Learning System (SWeMLS) Ontology
    https://w3id.org/semsys/ns/swemls
    An ontology to describe a Semantic-Web Machine Learning System (SWeMLS) @en
  • sdc - StatbarnSDC Ontology
    https://w3id.org/statbarnsdc
    An Ontology for the Statbarn Framework used in Output Statistical Disclosure Control (OSDC). @en
  • tree - TREE
    https://w3id.org/tree
    A hypermedia specification for fragmenting collections. @en
  • stax - RDF Stream Taxonomy (RDF-STaX)
    https://w3id.org/stax/ontology
    RDF-STaX is an OWL 2 DL ontology that enables describing the types of RDF streams and defines relations between them. @en
  • 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
  • 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
  • server - YANG Server Ontology
    https://w3id.org/yang/server#
    Ontology that defines core concepts for representing YANG servers, including connection details and the available YANG datastores, along with operations for retrieving YANG data from a YANG server. The goal of this ontology is to enable the declarative and abstract of the interactions with YANG servers for monitoring and configuration purposes. In this sense, the ontology can become the basis for building a knowledge graph from YANG data obtained from YANG servers. @en
  • vair - Vocabulary of AI Risks
    https://w3id.org/vair
    VAIR is a taxonomy of AI and risk concepts. @en
  • ws - An ontology for describing Workspaces.
    https://www.w3.org/ns/pim/space
    This ontology is for use in describing Workspaces. Workspaces are places where data is stored and associated policies of privacy. A given application typically stores information in several different workspaces, some being user private, some shared, and some public. it is crucial that the user has easy control over the destiny of information. @en