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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
  • An ontology to tie classes and properties to SKOS concepts @en
  • The instances of this ontology have been automatically generated from the UCUM (The Unified Code for Units of Measure). See http://aurora.rg.iupui.edu/UCUM/ for more details on UCUM. The members of the MyMobileWeb consortium explicitly acknowledge the copyright of the data from the UCUM ontology. @en
  • An ontology to describe competences and human capabilities @en
  • This is a vocabulary for modeling jobs offer in Spain. @en
  • An abstract model for Dublin Core metadata @en
  • The DCMI Type Vocabulary provides a general, cross-domain list of approved terms that may be used as values for the Resource Type element to identify the genre of a resource. @en
  • 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
  • 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
  • The Muninn Military Ontology marks up information about military people, organizations and events. @en
  • SIOC is an ontology for describing the information in online communities. @en
  • Extends the SIOC Core Ontology (Semantically-Interlinked Online Communities) by defining subclasses and subproperties of SIOC terms. @en
  • Search engines including Bing, Google, Yahoo! and Yandex rely on schema.org markup to improve the display of search results, making it easier for people to find the right web pages. @en
  • The aim of the Semantic Web Portal Ontology is to serve as the conceptual backbone for community portals driven by Semantic Web technologies. @en
  • The Data Value Vocabulary (DaVe) is an extensible core vocabulary that allows user to use custom data value dimensions and metrics to characterise data value in a specific context. This flexibility allows for the comprehensive modelling of data value. As a data value model, DaVe allows users to monitor data value as it occurs within a data exploitation or value creation process (data value chain) @en