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  • 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
  • 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
  • nrv - Normative Requirements Vocabulary
    http://ns.inria.fr/nrv
    An OWL vocabulary for describing normative requirements. @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
  • sor - SORON: Social Relationships ONtology
    http://purl.org/net/soron
    The Social Relationships ONtology (SORON) attempts to describe the different types of social relationships in society (both objective and subjective). Current version focuses on inter-personal 1:1 relationships (except family relationships). Other types of relationships may be covered in later versions. It complements FOAF and RELATIONSHIP ontologies. @en
  • dbm - DBM Ontology
    http://purl.org/net/dbm/ontology#
    An ontology for the Drug Bureau of Macedonia (DBM). @en
  • hifm - HIFM Ontology
    http://purl.org/net/hifm/ontology#
    An ontology for describing brand-name drugs. @en
  • wi - The Weighted Interests Vocabulary
    http://purl.org/ontology/wi/core#
    The Weighted Interests Vocabulary specification provides basic concepts and properties for describing describing preferences (interests) within contexts, their temporal dynamics and their origin on/ for the Semantic Web. @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
  • 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
  • bperson - Person
    http://data.vlaanderen.be/ns/persoon
    Person ontology in Dutch @en