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  • cl - Cinelab ontology
    http://advene.org/ns/cinelab/ld
    The Advene project aims at providing a model and various formats to share annotations about digital video documents (movies, courses, conferences...), as well as tools to edit and visualize the hypervideos generated from both the annotations and the audiovisual documents. Teachers, moviegoers, etc. can use them to exchange multimedia comments and analyses about video documents. The Cinelab model allows not only to represent video annotations, but also an elicitation of their structure (through notions of schema and annotation type), as well as their presentations with views (templates applied on data to produce hypervideos) and queries. This model has been developed by the partners of the Cinelab project (2007-2008, funded by the french national research agency), and used afterwards in a number of projects and applications, including Advene (LIRIS) and Ligne de temps (IRI). @en
  • ccr - Vocabulary for Regions and Zones on Cloud Computing
    http://cookingbigdata.com/linkeddata/ccregions
    Ontology for the definition of regions and zones of availability on CloudComputing platforms and services. This ontology allows to define model of regions used in large cloud computing providers such as Amazon, Azure, etc. @en
  • cci - Ontology for Cloud Computing instances
    http://cookingbigdata.com/linkeddata/ccinstances
    Ontology for Cloud Computing Instances. Instance are classes of VM that comprise varying combinations of CPU, memory, storage, and networking capacity. This ontology allows to define the instantiation model of MVs used in large cloud computing providers such as Amazon, Azure, etc. @en
  • ccp - Vocabulary for prices options in Cloud Computing Services
    http://cookingbigdata.com/linkeddata/ccpricing
    Simple and direct pricing ontology for Cloud Computing Services. This ontology allows to define model of prices used in large cloud computing providers such as Amazon, Azure, etc., including options for regions, type of instances, prices specification, etc. @en
  • oc - OntoMedia Core
    http://contextus.net/ontology/ontomedia/core/expression#
    OntoMedia (Ontology for Media) has been designed to describe the interactions occurring in multimedia. @en
  • being - OntoMedia Being Representation
    http://contextus.net/ontology/ontomedia/ext/common/being#
    A vocabulary to describe the interactions between persons and groups occurring in multimedia. @en
  • osr - OntoMedia Space Representation
    http://contextus.net/ontology/ontomedia/core/space#
    The OntoMedia Space representation denotes areas of landscape. Expands on the AKT location ontology @en
  • trait - OntoMedia Trait Representation
    http://contextus.net/ontology/ontomedia/ext/common/trait#
    OntoMedia (Ontology for Media) has been designed to describe the traits of entities. @en
  • topo - An ontology for describing territory elements an infrastructure at French Mapping Agency.
    http://data.ign.fr/def/topo
    This ontology reuses the legacy schema of BDTOPO(IGN) and aims at covering the topographic entities and administrative boundaries of the French national territory. The themes covered are: railway, transport, roads, energy, hydrography, POI, communes, etc. @en
  • geofla - Ontology of administrative units at IGN-France
    http://data.ign.fr/def/geofla
    An ontology describing the administrative divisions in France. @en
  • ignf - Ontology of coordinates reference systems
    http://data.ign.fr/def/ignf
    Codes for describing coordinates reference systems consistently with ISO TC/211. French translations of terms and definitions are mainly taken from the multilingual glossary of ISO/TC 211 available online: http://www.isotc211.org/Terminology.htm @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
  • ispra - Ispra Ontology
    http://dati.isprambiente.it/ontology/core#
    ISPRA ontology aims at the description of the processes and activities of the Institute in the areas circumscribed by the first published datasets. @en