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  • crsw - ReSIST Courseware Ontology
    http://courseware.rkbexplorer.com/ontologies/courseware
    The ReSIST Courseware Ontology represents the various educational courses and resources within the ReSIST project @en
  • va - The Visual Analytics Vocabulary
    http://code-research.eu/ontology/visual-analytics
    This vocabulary allows the semantic description of visual analytics applications. It is based on the RDF Data Cube Vocabulary and the Semanticscience Integrated Ontology. @en
  • cbo - Comic Book Ontology
    http://comicmeta.org/cbo/
    A metadata vocabulary for describing comic books and comic book collections. @en
  • geom - Ontology for geometry
    http://data.ign.fr/def/geometrie
    An ontology for describing the shape and the location of topographic entities @en
  • poste - "La Poste" Ontology
    http://data.lirmm.fr/ontologies/poste
    This vocabulary describes the contact points of the postal agencies network in France. @en
  • esco - The ESCO ontology
    http://data.europa.eu/esco/model
    The ontology of the taxonomy "European Skills, Competences, qualifications and Occupations". The ontology considers three ESCO pillars (or taxonomy) and 2 registers. The three pillars are: - Occupation - Skill (and competences) - Qualification For the construction and use of the ESCO pillars, the following modelling artefacts are used: - Facetting support to specialize ESCO pillar concepts based on bussiness relevant Concept Groups (e.g. species, languages, ...) - Conept Groups, Thesaurus array and Compound terms (as detailed in ISO 25964) to organize faceted concepts - SKOS mapping properties to relate ESCO pillar concepts to concepts in other (external) taxonomies (e.g. FoET, ISCO88 and ISCO08. More mappings can be added in the future.) - Tagging ESCO pillar concepts by other (external) taxonomies (NUTS, EQF, NACE, ...) - Capture gender specifics on the labels of the ESCO pillar concepts - Rich ESCO concept relationships holding a description and other specific characteristics of the relation between two ESCO pillar concepts. ESCO maintains two additional registers: - Awarding Body - Work Context Awarding Bodies typically are referenced by ESCO qualifications. Occupations can have one or more work context. @en
  • osp - French Public Services Ontology
    http://data.lirmm.fr/ontologies/osp
    Ontology for public services and organizations @en
  • eurio - EURIO: EUropean Research Information Ontology
    http://data.europa.eu/s66#
    The EUropean Research Information Ontology (EURIO) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. @en
  • gm - OWL representation of ISO 19107 (Geographic Information)
    http://def.seegrid.csiro.au/isotc211/iso19107/2003/geometry
    An OWL representation of part of the model for geometry and space from ISO 19107:2003 Geographic Information - Spatial Schema @en
  • basic - OWL representation of ISO 19103 (Basic types package)
    http://def.seegrid.csiro.au/isotc211/iso19103/2005/basic
    An OWL representation of (some of) the basic types described in ISO 19103:2005, required as primitives in other ontologies based on ISO 19100 series standards @en
  • ngeo - NeoGeo Geometry Ontology
    http://geovocab.org/geometry
    A vocabulary for specifying geographical regions in RDF @en
  • spatial - NeoGeo Spatial Ontology
    http://geovocab.org/spatial
    A vocabulary for describing topological relations between features @en
  • gov - Ontology for modelling historic administrative information.
    http://gov.genealogy.net/ontology.owl
    The Genealogisches Orts-Verzeichnis (GOV) contains information about current and historical political, ecclesiastical and legal administrative affiliations of settlements and administrative units. In addition several time-dependent values (such as names, population numbers, postal codes etc.) are given. @en
  • op - Observable properties
    http://environment.data.gov.au/def/op
    A general purpose ontology for observable properties. The ontology supports description of both qualitative and quantitative properties. The allowed scale or units of measure may be specified. A property may be linked to substances-or-taxa and to features or realms, if they play a role in the definition. @en
  • ldvm - Vocabulary for Linked Data Visualization Model
    http://linked.opendata.cz/ontology/ldvm/
    Vocabulary for Linked Data Visualization Model (LDVM) serves for description and configuration of components and pipelines according to LDVM @en