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  • bimerr-op - Occupancy Profile ontology
    http://bimerr.iot.linkeddata.es/def/occupancy-profile#
    The Occupancy Profile ontology has been developed to represent people’s behavior inside building spaces. @en
  • brk - Key Register Cadastre (BRK) vocabulary
    http://brk.basisregistraties.overheid.nl/def/brk
    Vocabulary for the Dutch key register of the cadastre (BRK) @en
  • brt - Key Register Topography (BRT) vocabulary
    http://brt.basisregistraties.overheid.nl/def/top10nl
    Vocabulary for the Dutch key register of topography (BRT) @en
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • obws - Object with states ontology
    http://delicias.dia.fi.upm.es/ontologies/ObjectWithStates.owl
    Ontology including the content ontology design pattern for modelling objects with states. @en
  • h2o - Ontology for conversion of ISO/TC 211
    http://def.seegrid.csiro.au/isotc211/iso19150/-2/2012/basic
    This ontology establishes classes corresponding to stereotypes used in ISO-conformant models, as used in the rules for conversion of the ISO TC 211 Harmonized Model from the UML to OWL representations @en
  • sam - The Sampling Features Schema Vocabulary
    http://def.seegrid.csiro.au/isotc211/iso19156/2011/sampling
    An OWL representation of the Sampling Features Schema described in clauses 8-10 of ISO 19156:2011 Geographic Information - Observations and Measurements. @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