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  • pd - Personal Data Categories
    https://w3id.org/dpv/pd
    Extension to the Data Privacy Vocabulary (DPV) providing additional categories of personal data @en
  • fairo - FAIR-O: An Ontology for FAIR Assessment and Scoring
    https://w3id.org/fair-o
    The FAIR Assessment Ontology is designed to model the process and outcomes of evaluating digital objects according to the FAIR principles. It captures FAIR assessments as provenance-aware activities, linking evaluated resources to detailed results for each FAIR sub-principle. Each assessment can include multiple sub-principle results, associated evidence, quantitative scores, and test outcomes (e.g., pass, fail, indeterminate). The ontology also models the computational aspects of FAIR evaluation, including scoring functions, calculation algorithms, and aggregation methods used to derive higher-level scores. The ontology is aligned with the FAIR Vocabulary (https://w3id.org/fair/principles/terms/) for the definition of principles and sub-principles, and reuses established standards such as PROV-O for provenance and SKOS for controlled vocabularies. This ensures interoperability with existing FAIR tools and supports integration into automated FAIR assessment pipelines. @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
  • 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
  • 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
  • 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