158
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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
  • 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
  • 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
  • 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
  • pna - Press.net Asset Ontology
    http://data.press.net/ontology/asset/
    Press.net Asset Ontology describes news assets (text, images, video, data, etc), the relationships between them and how assets can be classified and semantically annotated. @en
  • pne - Press.net Event Ontology
    http://data.press.net/ontology/event/
    Press.net Event Ontology models news-worthy events and their relationship to news assets and stuff (simple entities) in the world. @en
  • pns - Press.net Stuff Ontology
    http://data.press.net/ontology/stuff/
    Press.net Stuff Ontology models real world entities. There are two kinds of stuff: tangibles and intangibles. Tangible stuff includes persons, locations and organizations. Intangibles are abstract concepts such as smoking, feminism or love. @en
  • swc - Semantic Web Conference Ontology
    http://data.semanticweb.org/ns/swc/ontology
    The Semantic Web Conference ontology (SWC) is an ontology for describing academic conferences @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
  • 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
  • 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