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  • awol - Atom Syndication Ontology
    http://bblfish.net/work/atom-owl/2006-06-06/
    The AtomOWL ontology is inspired from the work done by the atom working group. This ontology is working off the rfc 4287 published among othe places at http://www.atompub.org/rfc4287.html . The AtomOWL ontology uses as much as possible the same terms as the format there to make the relation easy to understand. The AtomOWL name space is slightly different from the atom namespace [see post http://www.imc.org/atom-syntax/mail-archive/msg16476.html]. But this is a good thing as it helps distinguish the ontology from the rfc 4287 serialisation. @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
  • ctag - Common Tag Vocabulary
    http://commontag.org/ns#
    Common Tags are references to unique, well-defined concepts, complete with metadata and their own URLs. @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
  • 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
  • pnt - Press.net Tag Ontology
    http://data.press.net/ontology/tag/
    Press.net Tag Ontology defines relationships for semantically annotating taggable things (for example news assets) with domain entities (stuff) and events. @en
  • graphql - GraphQL Vocabulary
    http://datashapes.org/graphql
    A vocabulary to annotate RDF schemas (in particular SHACL shapes) with metadata to define mappings to GraphQL. @en
  • mrel - MARC Code List for Relators
    http://id.loc.gov/vocabulary/relators
    MARC relators are defined as both RDF properties and SKOS concepts @en
  • hr - hRESTS Ontology
    http://iserve.kmi.open.ac.uk/ns/hrests
    hRESTS is a vocabulary for describing RESTful Web services @en
  • msm - Minimal Service Model
    http://iserve.kmi.open.ac.uk/ns/msm
    A simple RDF(S) ontology able to capture (part of) the semantics of both Web services and Web APIs @en
  • ends - Vocabulary of endpoint status (availability, responseTime)
    http://labs.mondeca.com/vocab/endpointStatus
    Endpoint Status vocabulary intends to describe endpoint availability @en
  • lemon - LExicon Model for ONtologies
    http://lemon-model.net/lemon
    Lemon: The lexicon model for ontologies is designed to allow for descriptions of lexical information regarding ontological elements and other RDF resources. Lemon covers mapping of lexical decomposition, phrase structure, syntax, variation, morphology, and lexicon-ontology mapping. @en
  • lvont - Lexvo.org Ontology
    http://lexvo.org/ontology
    An ontology for natural language terms description, including scripts, languages and meanings. The Lexvo.org ontology is still under development and may not be able to address all needs. Please also consider using the Lingvoj Ontology and the GOLD ontology, whereever appropriate. @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