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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
  • caresses - CARESSES Ontology
    http://caressesrobot.org/ontology
    The CARESSES Ontology encodes guidelines defined by experts in Transcultural Nursing, with the aim of offering a specific tool for endowing social assistive robots (assisting older adults) with cultural competence. @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
  • 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
  • bperson - Person
    http://data.vlaanderen.be/ns/persoon
    Person ontology in Dutch @en
  • poder - Poder Vocabulary
    http://dev.poderopedia.com/vocab/schema
    A vocabulary to express information about people and their relations with Organizations, Companies, etc. @en
  • txn - TaxonConcept Ontology
    http://lod.taxonconcept.org/ontology/txn.owl
    This ontology and the related TaxonConcept data set mints identifiers that are tied to a specific species concept which can have several names and classifications. @en
  • rdarel2 - RDA Relationships GR2
    http://metadataregistry.org/uri/schema/RDARelationshipsGR2
    RDA Relationships for Persons, Corporate Bodies, Families @en
  • emotion - Emotion Ontology for Context Awareness
    http://ns.inria.fr/emoca
    EmOCA is used to contextualize dimensionnal emotion and to categorize it for human readability. @en
  • opo - Online Presence Ontology
    http://online-presence.net/opo/ns#
    Ontology for representing Online Presence @en
  • ic - International Contact Ontology: Addresses, phone numbers and emails.
    http://ontology.eil.utoronto.ca/icontact.owl
    This ontology provides basic classes and more detailed properties for representating international street addresses, phone numbers and emails. Rather than using existing ontologies, such as vcard, it was decided to create a new one as the vcard and foaf ignore the details of international addresses, phone numbers, etc. @en
  • obo - Ontology for Biomedical Investigation
    http://purl.obolibrary.org/obo/obi.owl
    The Ontology for Biomedical Investigations (OBI) is build in a collaborative, international effort and will serve as a resource for annotating biomedical investigations, including the study design, protocols and instrumentation used, the data generated and the types of analysis performed on the data. This ontology arose from the Functional Genomics Investigation Ontology (FuGO) and will contain both terms that are common to all biomedical investigations, including functional genomics investigations and those that are more domain specific. @en