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dc.rights.licenseopenen_US
dc.contributor.authorNIKIEMA, Jean Noel
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorMOUGIN, Fleur
IDREF: 116242337
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorJOUHET, Vianney
dc.contributor.authorSCHULZ, Stefan
dc.date.accessioned2024-02-26T12:45:32Z
dc.date.available2024-02-26T12:45:32Z
dc.date.issued2023
dc.date.conference2023-08-28
dc.identifier.issn1613-0073en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/188436
dc.description.abstractEnThe structure of knowledge organization systems (KOSs) – domain vocabularies, thesauri, terminologies, classification systems, and ontologies – follows different architectural principles and semantic theories. However, many use cases require their integrated use in a given domain. Building a common framework for KOSs is then a prerequisite for any principled account of their use when data annotated by different KOSs should be integrated. We propose an approach rooted in formal ontology, the aim of which is to harmonize the description of the domain itself with the description of the representational artifacts that claim to organize and represent knowledge of this domain. We propose a transparent framework for describing KOSs with a focus on the biomedical domain. Using comprehensive and consistent terminology, we formalize what KOSs represent by introducing KOSonto, an ontology that characterizes representational artifacts on the one hand and describes the relationships to their referents in the domain of application on the other hand. KOSonto uses OWL-DL axioms and is built under BFO and IAO. It accounts for a range of elements that are characteristic of different kinds of KOSs. We illustrate how KOSonto can be used to describe typical biomedical KOSs such as ICD-10, SNOMED CT, and MeSH. Further work will improve the alignment of KOSonto to foundational ontologies and apply this framework to optimize the creation, use, and reuse of mappings between heterogeneous KOSs.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.title.enKOSonto: An ontology for knowledge organization systems, their constituents, and their referents
dc.typeCommunication dans un congrèsen_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
bordeaux.page130-141en_US
bordeaux.volume3603en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.conference.titleInternational Conference on Biomedical Ontologies 2023 (ICBO 2023)en_US
bordeaux.countrybren_US
bordeaux.title.proceedingProceedings of the International Conference on Biomedical Ontologies 2023en_US
bordeaux.teamAHEAD_BPHen_US
bordeaux.conference.cityBrasiliaen_US
hal.identifierhal-04477657
hal.version1
hal.date.transferred2024-02-26T12:45:35Z
hal.invitedouien_US
hal.proceedingsouien_US
hal.conference.end2023-09-01
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
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