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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
  • plink - PersonLink Ontology
    http://cedric.cnam.fr/isid/ontologies/PersonLink.owl
    A Multilingual and Multicultural Ontology Representing Family Relationships. @en
  • ccp - Vocabulary for prices options in Cloud Computing Services
    http://cookingbigdata.com/linkeddata/ccpricing
    Simple and direct pricing ontology for Cloud Computing Services. This ontology allows to define model of prices used in large cloud computing providers such as Amazon, Azure, etc., including options for regions, type of instances, prices specification, etc. @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
  • 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
  • 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
  • poste - "La Poste" Ontology
    http://data.lirmm.fr/ontologies/poste
    This vocabulary describes the contact points of the postal agencies network in France. @en
  • food - Food Ontology
    http://data.lirmm.fr/ontologies/food
    This ontology models the Food domain. It allows to describe ingredients and food products. Ontology used by the Open Food Facts dataset @en
  • osp - French Public Services Ontology
    http://data.lirmm.fr/ontologies/osp
    Ontology for public services and organizations @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
  • shoah - Shoah Vocabulary Specification
    http://dati.cdec.it/lod/shoah/
    The ontology describing the Shoah domain, proposed here in beta version, aims to formally describe concepts and relationships that characterize the process of persecution and deportation of Jews in Italy between 1943 and 1945. @en