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  • contax - ConTax ontology
    https://w3id.org/con-tax
    An ontology containing additional terminology for structuring and annotating RDFS/OWL taxonomies for describing constructions (components, materials, spatial zones, damages, construction tasks and properties). It also functions as an index for known taxonomies starting from root classes and properties. @en
  • nyon - NyOn: A Multilingual Legal Ontology for Globalized Judicial System
    https://w3id.org/def/nyon#
    An ontology that represents concepts in the legal domain. @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
  • brk - Key Register Cadastre (BRK) vocabulary
    http://brk.basisregistraties.overheid.nl/def/brk
    Vocabulary for the Dutch key register of the cadastre (BRK) @en
  • dtx_srti - LOD SRTI DATEX II
    http://cef.uv.es/lodroadtran18/def/transporte/dtx_srti
    An RDF/OWL vocabulary to represent SRTI DATEX II profile (according the Commission Delegated Regulation (EU) No 886/2013) within the European LOD-RoadTran18 action "Supporting the cross-border use of Road Traffic Data with Linked Open Data based on DATEX II (LOD-RoadTran18)" (Agreement No: INEA/CEF/ICT/A2018/1803421, Action No: 2018-EU-IA-0088). The vocabulary is used for mapping between DATEX II and LOD formats. @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
  • 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
  • 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
  • cbo - Comic Book Ontology
    http://comicmeta.org/cbo/
    A metadata vocabulary for describing comic books and comic book collections. @en
  • cc - Creative Commons Rights Expression Language
    http://creativecommons.org/ns
    The Creative Commons Rights Expression Language (CC REL) lets you describe copyright licenses in RDF @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
  • locah - The LOCAH RDF Vocabulary
    http://data.archiveshub.ac.uk/def/
    This vocabulary derived from the Encoded Archival Description standard has been developed in 2010-2011 by the LOCAH project. @en
  • ebg - euBusinessGraph ontology
    http://data.businessgraph.io/ontology#
    The euBusinessGraph (`ebg:`) ontology represents companies, type/status/economic classification, addresses, identifiers, company officers (e.g., directors and CEOs), and dataset offerings. It uses `schema:domainIncludes/rangeIncludes` (which are polymorphic) to describe which properties are applicable to a class, rather than `rdfs:domain/range` (which are monomorphic) to prescribe what classes must be applied to each node using a property. We find that this enables more flexible reuse and combination of different ontologies. We reuse the following ontologies and nomenclatures, and extend them where appropriate with classes and properties: - W3C Org, W3C RegOrg (basic company data), - W3C Time (officer membership), - W3C Locn (addresses), - schema.org (domain/rangeIncludes and various properties) - DBpedia ontology (jurisdiction) - NGEO and Spatial (NUTS administrative divisions) - ADMS (identifiers), - FOAF, SIOC (blog posts), - RAMON, SKOS (NACE economic classifications and various nomenclatures), - VOID (dataset descriptions). This is only a reference. See more detail in the [EBG Semantic Model](https://docs.google.com/document/d/1dhMOTlIOC6dOK_jksJRX0CB-GIRoiYY6fWtCnZArUhU/edit) google document, which includes an informative description of classes and properties, gives examples and data provider rules, and provides more schema and instance diagrams. @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