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Combined with the EBU Class Conceptual Data Model (CCDM) of simple business objects, EBUCore provides the appropriate framework for descriptive and technical metadata for use in Service Oriented Architectures and also in audiovisual ontologies for semantic web and linked data developments. @en
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The ECLAP vocabulary provide classes and properties for the description of multimedia content related with performing arts. @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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Marl is a standardised data schema designed to annotate and describe subjective opinions expressed on the web or in particular Information Systems. @en
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Onyx is a vovabulary designed designed to annotate and describe the emotions expressed by user-generated content on the web or in particular Information Systems. @en
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The DINGO ontology (Data Integration for Grant Ontology) defines the terms of the DINGO vocabulary and provides a machine readable extensible framework to model data relative to projects, funding, project and funding actors, and, notably, funding policies. It is designed to yield high modeling power and elasticity to cope with the huge variety in funding and project practices, which makes it applicable to many areas where funding is an important aspect: first of all research, but also the arts, cultural conservation, and many others. @en
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Designed with the goals to describe and encode the core dramatic qualities and to serve as a knowledge base underlying a number of applications, Drammar is a comprehensive ontology of drama, realized through a collaboration of computer scientists and drama scholars. It makes the knowledge about drama available as a vocabulary for the linked interchange of drama encodings and readily usable by automatic reasoners. By avoinding references to style and artistic qualities Drammar aims at representing the elements shared by different, cross-media manifestations of drama, the so–called intangible elements of drama as an intangible cultural heritage form. @en
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Simple ontology developed for integration purposes. Describe helpdesk entities used to record support tickets for diagnosis and resolve purpuses. The ontology re-uses a) W3C ORG and REGORG ontologies, b) DUL upper ontology, and c) GoodRelations ontology. @en
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OntoMedia (Ontology for Media) has been designed to describe the interactions occurring in multimedia. @en
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A vocabulary to describe the interactions between persons and groups occurring in multimedia. @en
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OntoMedia (Ontology for Media) has been designed to describe the traits of entities. @en
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Simple and direct pricing ontology for Cloud Computing Services. This ontology allows to define model of prices used in large cloud computing providers such as Amazon, Azure, etc., including options for regions, type of instances, prices specification, etc. @en
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Service Level Agreement for Cloud Computing Services. This ontology allows to define model of SLA/SLO used in large cloud computing providers such as Amazon, Azure, etc., including terms, claims, credit, compensations, etc @en
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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