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  • bag - Vocabulary for the Dutch base registration of buildings and addresses (BAG)
    http://bag.basisregistraties.overheid.nl/def/bag
    Vocabulary for the Dutch key register of buildings and addresses (BAG) @en
  • geop - FAO Geopolitical Ontology
    http://aims.fao.org/aos/geopolitical.owl
    FAO's geopolitical ontology version 1.1 was populated with FAO, UN and internationally recognized data sources. @en
  • cbs - Netherlands' National Statistics Office (CBS) ontology
    http://betalinkeddata.cbs.nl/def/cbs
    Vocabulary for datasets from the Netherlands' National Statistics Office @en
  • 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
  • plink - PersonLink Ontology
    http://cedric.cnam.fr/isid/ontologies/PersonLink.owl
    A Multilingual and Multicultural Ontology Representing Family Relationships. @en
  • faldo - Feature Annotation Location Description Ontology
    http://biohackathon.org/resource/faldo
    Used to describe a location that consists of a number of Regions but where the order is not known. e.g. the oddly named order() keyword in a INSDC file. @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
  • 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
  • agrelon - Agent Relationship Ontology
    http://d-nb.info/standards/elementset/agrelon
    The ontology of agent relationships, AgRelOn, defines relations of persons to other persons and to organisations @en
  • cochrane - Cochrane Core Vocabulary Ontology
    http://data.cochrane.org/ontologies/core/
    The Cochrane Core ontology describes the entities and concepts that exist in the domain of evidence based healthcare. It is used for the construction of the Cochrane Linked Data Vocabulary containing some 400k terms including Interventions (Drugs, Procedures etc), Populations (Age, Sex, Condition), and clinical Outcomes. @en
  • pico - Cochrane PICO Ontology
    http://data.cochrane.org/ontologies/pico/
    The PICO ontology provides a machine accessible version of the PICO framework. It essentially provides a model for describing evidence in a consistent way. The model allows the specifying of complex populations, detailed interventions and their comparisons as well as the outcomes considered. The PICO ontology was originally designed to model the questions asked and answered in Cochrane's systematic reviews. As a leader in the field of evidence based healthcare Cochrane uses the PICO model when framing and publishing evidence based questions. The PICO model is widely adopted for describing healthcare evidence, furthermore is equally applicable in other evidence-based domains. It essentially provides a model for describing evidence in a consistent way. @en