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The GVP Ontology defines classes, properties and values (skos:Concepts) used in GVP LOD. It is complete regarding AAT and TGN (as of version 2.0), and will be extended in time with more elements needed for the other GVP vocabularies (ULAN, CONA). @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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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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This RDF vocabulary can be use to describe and categorize annotations involving entity mentions (sub-strings of text) that link to knowledgebase identifiers @en
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The Data Knowledge Vocabulary allows for a comprehensive description of data assets and enterprise data management. It covers a business data dictionary, data quality management, data governance, the technical infrastructure and many other aspects of enterprise data management. The vocabulary represents a linked data implementation of the Data Knowledge Model which resulted from extensive applied research. @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
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This specification describes MOD, a metadata vocabulary to describe and publish ontologies @en
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The Open NEE Model defines an extension of the Open Annotation Data Model (http://www.openannotation.org/spec/core) that allows describing in RDF the result of a Named Entity Extraction (NEE) process, enabling thereby an application to run advanced (SPARQL) queries over the annotated data. The model also exploits the Open NEE Configuration Model (http://www.ics.forth.gr/isl/oncm) for relating the output of a NEE process with an applied configuration (serving provenance information to the output of the entire NEE process). @en
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Version 2.0 of LexInfo Ontology, based on Lemon @en
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A vocabulary to describe signs in a semiotic approach @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