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An ontology to address the Research Management of the CRUE's Spanish University System (Sistema Universitario Español) by applying an encompassing model not only capable of addressing the universities of the CRUE but also more belonging to the European Union. @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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The system ontology of Wikibase @en
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The AKT Reference Ontology has been designed to support the AKT-2 demonstrator ("AKTive Portal"), and subsequent activities @en
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Provides basic concepts and properties for describing specific association statements to something, e.g. an occasion, a genre or a mood ... @en
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The Counter Ontology specification provides basic concepts and properties for describing a general counter concept and some important sub counters @en
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The Ordered List Ontology Specification provides basic concepts and properties for describing ordered lists as semantic graphs. @en
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This ontology aims at providing a simple vocabulary for describing programmes. It covers brands, series (seasons), episodes, broadcast events, broadcast services, etc. @en
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An ontology to describe associations between things. Although this ontology was designed with music similarity in mind, it can readily be applied to other domains. @en
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The Weighting Ontology specification provides a vocabulary for describing weightings and their referenced scales, on/ for the Semantic Web. @en
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The RECO ontology defines the vocabulary for representing preferences-as-constraints and preferences-as-ratings as RDF graphs. This lightweight vocabulary provides domain-independent means to describe user profiles in a coherent and context-aware way. RECO has been designed as an extension of both Friend-Of-A-Friend (FOAF) and Who Am I! (WAI) ontologies. @en
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Relationships without range and domains meant to be reused in different contexts @en
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The Media Value Chain Ontology (MVCO) is an ontology for formalizing the representation of the Media Value Chain. It couples naturally with the MPEG-21 multimedia framework, and its standardization as Part 19 of this ISO/IEC standard is underway (at the editing time of this document). @en
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This ontology is part of the Agriculture Meteorology example showcasing the ontology developed by the W3C Semantic Sensor Networks incubator group (SSN-XG). It is published here in order to generalize the potential usage and the alignment with other standardization efforts of the SSN ontology. @en
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This ontology is partially based on the SysML QUDV (Quantities, Units, Dimensions and Values) proposed by a working group of the SysML 1.2 Revision Task Force (RTF), working in close coordination with the OMG MARTE specification group. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, the QU ontology has been further developed as a complement to the Agriculture Meteorology example showcasing the ontology developed by the W3C Semantic Sensor Networks incubator group (SSN-XG). @en