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results
  • 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
  • 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
  • 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
  • dbpedia-owl - The DBpedia Ontology
    http://dbpedia.org/ontology/
    The DBpedia ontology provides the classes and properties used in the DBpedia data set. @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
  • ecrm - Erlangen CRM / OWL
    http://erlangen-crm.org/current/
    Erlangen CRM / OWL - An OWL DL 1.0 implementation of the CIDOC Conceptual Reference Model, based on: Nick Crofts, Martin Doerr, Tony Gill, Stephen Stead, Matthew Stiff (eds.): Definition of the CIDOC Conceptual Reference Model (http://cidoc-crm.org/). This implementation has been originally created by Bernhard Schiemann, Martin Oischinger and Günther Görz at the Friedrich-Alexander-University of Erlangen-Nuremberg, Department of Computer Science, Chair of Computer Science 8 (Artificial Intelligence) in cooperation with the Department of Museum Informatics of the Germanisches Nationalmuseum Nuremberg and the Department of Biodiversity Informatics of the Zoologisches Forschungsmuseum Alexander Koenig Bonn. The Erlangen CRM / OWL implementation of the CIDOC Conceptual Reference Model is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. @en
  • dogont - Ontology Modeling for Intelligent Domotic Environments
    http://elite.polito.it/ontologies/dogont.owl
    The DogOnt ontology supports device/network independent description of houses, including both controllable and architectural elements. @en
  • eupont - EUPont: an ontology for End User Programming of the IoT
    http://elite.polito.it/ontologies/eupont.owl
    EUPont is an ontology to model high level rules for Internet of Things End User Programming (IoT-EUP). @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
  • lsc - Linked Science Core Vocabulary
    http://linkedscience.org/lsc/ns#
    LSC, the Linked Science Core Vocabulary, is a lightweight vocabulary providing terms to enable publishers and researchers to relate things in science to time, space, and themes. @en
  • earth - The Linked Earth Ontology
    http://linked.earth/ontology#
    The Linked Earth Ontology aims to provide a common vocabulary for annotating paleoclimatology data @en
  • nrv - Normative Requirements Vocabulary
    http://ns.inria.fr/nrv
    An OWL vocabulary for describing normative requirements. @en