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results
  • 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
  • gleif-L1 - Global Legal Entity Identifier Foundation Level 1 Ontology - Who Is Who
    https://www.gleif.org/ontology/L1/
    Ontology for legal entity identifier registration. It was designed for Global Legal Entity Identifier Foundation (GLEIF) Level 1 data corresponding to the Common Data Format version 2.1. It covers key reference data for a legal entity identifiable with an LEI. The ISO 17442 standard developed by the International Organization for Standardization defines a set of attributes or LEI reference data that comprises the most essential elements of identification. It specifies the minimum reference data, which must be supplied for each LEI: The official name of the legal entity as recorded in the official registers. The registered address of that legal entity. The country of formation. The codes for the representation of names of countries and their subdivisions. The date of the first LEI assignment; the date of last update of the LEI information; and the date of expiry, if applicable. @en
  • gleif-base - Global Legal Entity Identifier Foundation Base Ontology
    https://www.gleif.org/ontology/Base/
    Ontology defining generic concepts for reuse by other Global Legal Entity Identifier Foundation (GLEIF) ontologies. It defines generic classes for (legal) Entities and their relationships and statuses; and generic properties for different types of name and address. It makes use of the OMG Languages Countries and Codes (LCC) ontology (based on the ISO 3166 standard) for country and region information. @en
  • vair - Vocabulary of AI Risks
    https://w3id.org/vair
    VAIR is a taxonomy of AI and risk concepts. @en
  • wotsec - Security mechanisms for the Web of Things
    https://www.w3.org/2019/wot/security#
    Security mechanisms for the the Web of Thing @en
  • gleif-L2 - Global Legal Entity Identifier Foundation Level 2 Ontology - Who Owns Whom
    https://www.gleif.org/ontology/L2/
    Ontology for legal entity parent relationships. It was designed for Global Legal Entity Identifier Foundation (GLEIF) Level 2 data corresponding to the Relationship Record format, version 1.1. Legal entities that have or acquire an LEI report their ‘direct accounting consolidating parent’ as well as their ‘ultimate accounting consolidating parent’, or for International Branches ‘is an International Branch of'. Otherwise they must provide a Reporting Exception. @en
  • rcao - Resilient Collective Awareness Ontology
    https://www.w3id.org/rcao
    The RCAO aims to provide a common knowledge model of the resilient collective awareness on automated driving domain. @en
  • sur - The Survey Ontology
    https://www.w3id.org/survey-ontology
    Ontology for surveys based on the Coney data model. @en
  • yoga - Yoga Ontology
    https://yogaontology.org/ontology/
    Yoga Ontology is the list of vocabularies that define the yogic practice. Where Yoga is the union of the mind and body. @en