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results
  • voag - Vocabulary Of Attribution and Governance
    http://voag.linkedmodel.org/schema/voag
    VOAG is intended to specify licensing, attribution, provenance and governance of an ontology. @en
  • pdo - Project Documents Ontology
    http://vocab.deri.ie/pdo
    The Project Documents Ontology models the inherent structure and concepts of various documents in a project-specific setting, like meeting minutes, status reports etc. @en
  • tao - Trust Assertion Ontology
    http://vocab.deri.ie/tao
    TAO is a light-weight vocabulary to describe asserted user’s subjective trust values. @en
  • br - Brainstorm Ontology
    http://vocab.deri.ie/br
    A lightweight ontology to structure e- brainstorming sessions @en
  • comm - Vocabulary related to incident communication
    http://vocab.resc.info/communication
    This vocabulary is intended to describe all the aspects which are needed to communicate incident related information for fire department services @en
  • jup - Ontology of Building Accessibility
    http://w3id.org/charta77/jup
    The vocabulary of building accessibility was created within the project Maps without Barriers realized under Charta 77 Foundation – Barriers Account. It is based on the Object Accessibility Categorization Methodology, however, it is completed with entities arising from the needs of the project. This vocabulary is also part of a diploma thesis entitled Ontology of Building Accessibility. The project is co-financed from resources provided by the European Union and European Regional Development Fund. @en
  • cbcm - The European Union Company Mobility Ontology (EUCM ontology)
    http://w3id.org/um/cbcm/eu-cm-ontology
    This ontology describes terms concerning companies, their cross-border movements within the European Union (EU), and associated EU company legislation. @en
  • akt - AKT Reference Ontology
    http://www.aktors.org/ontology/portal
    The AKT Reference Ontology has been designed to support the AKT-2 demonstrator ("AKTive Portal"), and subsequent activities. The ontology, designed by the AKT-2 group and codified by Enrico Motta, extends Version 1. @en
  • bbcprov - BBC Provenance Ontology
    http://www.bbc.co.uk/ontologies/provenance
    The provenance ontology supports data management and auditing tasks. It is used to define the different types of named graphs we used in the store (quad store) and enables their association with metadata that allow us to manage, validate and expose data to BBC services @en
  • km4c - km4city, the DISIT Knowledge Model for City and Mobility
    http://www.disit.org/km4city/schema
    A Knowledge Model to describe a smart city, that interconnect data from infomobility service, Open Data and other source @en
  • irw - The Identity of Resources on the Web ontology
    http://www.ontologydesignpatterns.org/ont/web/irw.owl
    This ontology is an evolution of IRE ontology. It describes identification of resources on the Web, through the definition of relationships between resources and their representations on the Web. The requirement is to describe what can be identified by URIs and how this is handled e.g. in form of HTTP requests and reponds. @en
  • test - Test Metadata
    http://www.w3.org/2006/03/test-description
    This ontology aims at defining the Quality Assurance Framework by collecting the test development experience of W3C Working Groups and summarizing the work done about tests and metadata. @en
  • cert - The Cert Ontology
    http://www.w3.org/ns/auth/cert#
    Ontology for Certificates and crypto stuff. @en
  • dqv - Data Quality Vocabulary
    http://www.w3.org/ns/dqv
    The Data Quality Vocabulary (DQV) is seen as an extension to DCAT to cover the quality of the data, how frequently is it updated, whether it accepts user corrections, persistence commitments etc. When used by publishers, this vocabulary will foster trust in the data amongst developers. @en
  • duv - Dataset Usage Vocabulary
    http://www.w3.org/ns/duv
    The Dataset Usage Vocabulary (DUV) is used to describe consumer experiences, citations, and feedback about datasets from the human perspective. @en