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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
  • ccsla - Service Level Agreement for Cloud Computing
    http://cookingbigdata.com/linkeddata/ccsla
    Service Level Agreement for Cloud Computing Services. This ontology allows to define model of SLA/SLO used in large cloud computing providers such as Amazon, Azure, etc., including terms, claims, credit, compensations, 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
  • 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
  • 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
  • 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
  • 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
  • cis - Cultural-ON (Cultural ONtology): Cultural Institute/Site and Cultural Event Ontology
    http://dati.beniculturali.it/cultural-ON/cultural-ON.owl
    The ontology aims at modelling the data on cultural institutes or sites such as data regarding the agents that play a specific role on cultural institutes or sites, the sites themselves, the contact points, all multimedia files which describe the cultural institute or site and any other information useful to the public in order to access the institute or site. Moreover, the ontology represents events that can take place in specific cultural institutes or sites. @en
  • san-lod - SAN Ontologia
    http://dati.san.beniculturali.it/SAN/
    SAN Ontology @en
  • ep - EPrints Ontology
    http://eprints.org/ontology/
    Describes the main classes and properties which EPrints adds to voID, DC, BIBO and SKOS etc @en
  • kees - KEES Ontology
    http://linkeddata.center/kees/v1
    KEES (Knowledge Exchange Engine Schema ) ontology describes a knowledge base configuration in terms of ABox and TBox statements together with their accrual and reasoning policies. This vocabulary is designed to drive automatic data ingestion in a graph database according KEES and Linked (Open) Data principles. @en
  • nlon - National Library of Korea Ontology
    http://lod.nl.go.kr/ontology/
    This specification describes National Library of Korea Ontology vocaburaries using W3C's RDF and OWL technology. @en
  • trao - Transport Administration Ontology
    http://linkeddata.finki.ukim.mk/lod/ontology/tao#
    Transport Administration Ontology (TAO) for describing data from Swedish Transport Administration Web site. @en