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This vocabulary describes the entities which may be derived from a URI and the relationships between them, such as Internet Domains, prototcols, file suffixes etc. It was initially issued as part of an April 1st gag, but has utility beyond the initial joke. @en
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Ontology 'Usability' created to describe and store information about interactions of user with a software user interface @en
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This vocabulary allows the semantic description of visual analytics applications. It is based on the RDF Data Cube Vocabulary and the Semanticscience Integrated Ontology. @en
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The purpose of VAEM is to provide, by import, a foundation for commonly needed resources when building an ontology. @en
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The Vagueness Ontology (VO) allows one to specify vagueness characterisations of the TBox entities of an ontology. @en
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VAIR is a taxonomy of AI and risk concepts. @en
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A vocabulary for annotating descriptions of vocabularies with examples and usage notes. @en
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A model for the representation of lexical information relative to ontologies. Variation and translation module. @en
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This ontology models and represents vCards in RDF using current best practices @en
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The Vocabulary of Dataset Publication Projects (VDPP) allows to represent the status of a dataset publication project. It is mainly based on the Provenance Vocabulary (PRV), the Dataset Provenance Vocabulary (VOIDP), the Vocabulary of Interlinked Datasets (VoID), and the Description of a Project (DOAP) vocabulary. @en
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An ontology for describing vehicles and their emissions. @en
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The Video Game Ontology is an ontology designed for describing video games and all the resources related to their game plays. @en
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This ontology was used as example in the first OWL Recommendation (February 2004) @en
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This ontology, called VIR, is an extension of CIDOC-CRM created to sustain propositions on the nature of visual elements and permit these descriptions to be published on the Web. With the term visual element, we refer to those signs identified in the visual space as distinct and documentable units, and subject to an analytical interpretation. The scope of this ontology is to s to provide a framework to support the identification, annotation and interconnections between diverse visual elements and presents and assist their documentation and retrieval. Specifically, the model aims to clarify the identity and the relation of these visual signs, providing the necessary classes to characterise their constituent elements, reference, symbolic content and source of interpretation. VIR expands on key entities and properties from CIDOC-CRM, introducing new classes and relationships responding to the visual and art historical community, specifically building up on the iconographical tradition. The result is a model which differentiates between interpretation and element identified, providing a clear distinction between denotation and signification of an element. As a consequence of such distinction, the ontology allows for the definition of diverse denotative criteria for the same representation, which could change based on traditions and perspective. Visual objects can be, in fact, polysemic and ambiguous, and it is not so easy to pin down a denotative or connotative meaning because they are very much context-dependent. @en
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An ontology of academic and research domain, developed in the framework of the VIVO project @en