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The VAS ontological model enables the semantic integration of the heterogeneous observations used in ASOTVAS project ( https://robotica.uv.es/proyectos/ASOTVAS/ ), including ground measurements, UAV acquisitions and satellite products. Built as an extension of the W3C SOSA ontology (Janowicz et al., 2018), it incorporates a domain-specific vocabulary tailored to the needs of the Valencia Anchor Station as a CEOS LPV supersite. The model provides additional classes and properties to represent, in a homogeneous way, the different observational platforms: field sensors installed at VAS stations, UAVs equipped with multispectral cameras, and satellite missions such as Sentinel-2 and Sentinel-3. All observations follow a common SOSA pattern and share the same structure for results, units and timestamps. By aligning field, UAV and satellite observations under a unified semantic framework, the VAS ontology supports interoperable data access, consistent representation across scales, and integrated analysis of the multi-source measurements collected in ASOTVAS. @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
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In Software Engineering, as well as in other disciplines, it is common to use model-editing tools using a visual language. In particular, the editing tools allow you to design UML software models, so that let you manage much of the work products of a project. From the study of several UML tools, such as Enterprise Architect, Visual Paradigm for UML or Rational Rose, this vocabulary has been defined. This vocabulary represents the basic structure of these UML tools, but does not exclude others that allow you to use other visual languages for modeling software systems or other entities. @en
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A vocabulary to describe linked data vocabularies and their relations @en
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VOAG is intended to specify licensing, attribution, provenance and governance of an ontology. @en
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This ontology aims to model RDF streams, their metadata, and access endpoints for publishing and consuming these streams @en
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The Vocabulary of Interlinked Datasets (VoID) is an RDF Schema vocabulary for expressing metadata about RDF datasets. @en
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The Extension of the Vocabulary of Interlinked Datasets (VoID) RDF Schema that includes the concept of virtual links. This extension enhances interoperability among heterogeneous and distributed RDF data sets by bridging them through explicitly defined virtual links. @en
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An extension of W3C VoID that is able to represent these metrics for expressing the Connectivity Metrics of a Semantic Warehouse. @en