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An ontology to describe competences and human capabilities @en
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A vocabulary for the Social and Solidarity Economy (SSE). This vocabulary is designed to be used in combination with the metadata schemes/vocabularies/ontologies: dcterms, good relations, foaf, vcard, organization and schema.org - this is defined in the Dublin Core Application Profile of the SSE. Developed by the ESSGlobal group of the Intercontinental Network for Promoting the Social and Solidarity Economy (RIPESS) Organisation. @en
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This vocabulary is based on the EPC Information Services Specification http://www.gs1.org/sites/default/files/docs/epc/epcis_1_0_1-standard-20070921.pdf @en
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The objective of gUFO is to provide a lightweight implementation of the Unified Foundational Ontology (UFO) [1-5] suitable for Semantic Web OWL 2 DL applications. Intended users are those implementing UFO-based lightweight ontologies that reuse gUFO by specializing and instantiating its elements. There are three implications of the use of the term lightweight. First of all, we have employed little expressive means in an effort to retain computational properties for the resulting OWL ontology. Second, we have selected a subset of UFO-A [1, 2] and UFO-B [3] to include here. In particular, there is minimalistic support for UFO-B (only that which is necessary to establish the participation of objects in events and to capture historical dependence between events). Third, a lightweight ontology, differently from a reference ontology, is designed with the purpose of providing an implementation artifact to structure a knowledge base (or knowledge graph). This has driven a number of pragmatic implementation choices which are discussed in comments annotated to the various elements of this implementation. The 'g' in gUFO stands for gentle. At the same time, "gufo" is the Italian word for "owl". For the source repository, see: <https://github.com/nemo-ufes/gufo> @en
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dvia is an RDF vocabulary designed to facilitate interoperability between visualization applications published on the Web. @en
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The Stories ontology was developed in collaboration with the BBC, with an aim to creating an ontology for narrative representation that could be applied across a diverse set of cases. These included accounts of events in Northern Ireland, the storylines of Doctor Who episodes, and key events of the Battle of Britain. @en
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This Vocabulary provides the means to create a document which describes a large event or other connected series of events. The primary purpose is to help humans comprehend the programme, not describe absolute truth. A single event (or even series) may have multiple programmes. @en
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RDF Schema declaration for Rich Site Summary (RSS) 1.0 @en
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This vocabulary provides supplementary terms for organisations wishing to publish open data about themselves. @en
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This version of the OSLO Exchange Standard provides a minimum set of classes and properties for describing a natural person, i.e. the individual as opposed to any role they may play in society or the relationships they have to other people, organisations and property; all of which contribute significantly to the broader concept of identity. The vocabulary is closely integrated with the Person, Organisation and Location Vocabularies published by the W3C in the Gov Linked Data Project. The OSLO specification is the result of a public-private partnership initiated by V-ICT-OR, the Flemish Organization for ICT in Local Government. @en
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An ontology for organising theatrical data. @en
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A ontology developed for telecommunciation network systems with hybrid technologies, e.g., WiFi, LiFi, LTE, 2G/3G, optical, etc. @en
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The participation ontology is a simple model for describing the roles that people play within groups. It is intended that specific domains will create subclasses of roles within their own areas of expertise. @en
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The SUMMA Vocabulary enables to request and represent summarized RDf resources. It should be used in context to the SUMMA API definition. @en
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This ontology contains a list of the classes and properties that can be used when for creating and publishing a controlled vocabulary dataset for xAPI communities of practice. @en