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FraPPE is a vocabulary to enable Visual Analytics operations on geo-spatial time varying data. By enabling Visual Analytics instruments FraPPE ease the capture, correlation and comparison operations on geo-spatial data from different sources evolving over time @en
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orca, the Ontology of Reasoning, Certainty and Attribution, is an ontology for characterizing the certainty of information, how it is known, and its source @en
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A simple vocabulary for describing the rooms in a building. @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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Vocabulary describing the administrative subdivision of Norway @en
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m4i- Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.Metadata4Ing defines classes and properties or reuses such classes and properties from other ontologies to describe research processes and research data management in NFDI4Ing. New concepts and properties are located in the namespace of Metadata4Ing. Metadata4Ing does not import complete ontologies for the sake of relevance, readability, understandability and usability by and for engineers. Instead, it tries to make re-use of existing identifiers for classes and properties by re-using all or a relevant subset of the axioms from the original ontology. These statements have been extracted in different ways, e.g. by using Protégé tools importing an ontology and copying axioms of relevant items to Metadata4Ing or by download from data services or raw files of ontologies and manual copypasting. In some cases there was a need to extend or modify the original set of statements about an entity, e.g. because labels and definitions were expressed with a different owl:AnnotationProperty than the rest of Metadata4Ing, or because a skos:preflabel or a skos:definition in any of the languages we would like to support was missing. Any editorial changes on elements from external ontologies are declared in Metadata4Ing by an annotation with skos:editorialNote at item-level. To get the original set of statements we encourage to visit the original namespace of the respective item. Metadata4Ing reuses elements from the following ontologies: - BIBO = Bibliographic Ontology - BIRO = Bibliographic Reference Ontology - DCAT = Data Catalog - DCTERMS = Dublin Core Terms - FOAF = Friend of a Friend - OWL = Web Ontology Language - PROV = Provenance Namespace - QUDT = Quantities, Units, Dimensions and Types - RDF = Resource Description Framework - RDFS = RDF Schema - SCHEMA = schema.org - SKOS = Simple Knowledge Organization System - SSN = Semantic Sensor Network Ontology - VANN = Vocabulary for Annotating vocabulary descriptions - XSD = XML Schema Definition - EMMO = European Materials and Modelling Ontology - BFO = Basic Formal Ontology - RO = Relation Ontology - PIMS-II = PIMS Interoperability Infrastructure - D-SI = Digital System of Units @en
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The Data Template (DT) Ontology is based on concepts and principles for creating templates from ISO 23387 and the associated XML data schema, which is currently under development. @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 AGLS Metadata Terms Namespace provides URIs for the AGLS Metadata Terms Vocabulary in the context of AGLS Metadata Standard, a set of metadata properties and associated usage guidelines to improve the visibility, manageability and interoperability of online information and services. Vocabulary terms are declared using RDF Schema language to support RDF applications. It will be updated according to AGLS Working Group decisions. @en
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Arpenteur ontology is dedicated to photogrammetry, archeology and oceanology communities in order to perform tasks such as image processing, photogrammetry and modelling. @en
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Basic properties of a country as defined by ISO 3166 (code and name) @en
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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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OWL pattern for describing activity models as abstract dependencies among classes. @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