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REDIRECT: Mapping Drug Prescriptions and Evidence from Biomedical Literature

dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTHIAO LAYEL, Bruno
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorJOUHET, Vianney
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorBLIN, Guillaume
IDREF: 095050523
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDIALLO, Abdourahmane Gayo
ORCID: 0000-0002-9799-9484
IDREF: 112800084
dc.date.accessioned2023-02-20T10:26:50Z
dc.date.available2023-02-20T10:26:50Z
dc.date.issued2022-05-25
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/171993
dc.description.abstractEnTo enhance their practice, healthcare professionals need to cross-link various usage recommendations provided by heterogeneous vocabularies that must be retrieved and integrated conjointly. This is the aim of the Knowledge Warehouse / K-Ware platform. It enables establishing relevant bridges between different knowledge sources (structured vocabularies, thesaurus, ontologies) expressed in the semantic web standard languages (i.e. SKOS, OWL, RDF). This poster presents the strategy applied in K-Ware to hide the different aspects of linking literals with medical entities encoded in these knowledge sources to fetch some publications abstracts from Pubmed.
dc.language.isoENen_US
dc.publisherIOS Pressen_US
dc.rightsAttribution-NonCommercial 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/*
dc.source.titleStudies in Health Technology and Informaticsen_US
dc.subjectKnowledge Resource
dc.subjectKnowledge warehouse
dc.subjectRDF
dc.subjectMeta-model
dc.subjectOntology
dc.subjectSemantic
dc.subjectTerminology.
dc.title.enREDIRECT: Mapping Drug Prescriptions and Evidence from Biomedical Literature
dc.title.alternativeStud Health Technol Informen_US
dc.typeChapitre d'ouvrageen_US
dc.identifier.doi10.3233/shti220491en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed35612113en_US
bordeaux.page419-420en_US
bordeaux.volume294: Challenges of Trustable AI and Added-Value on Healthen_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.teamAHEAD_BPHen_US
bordeaux.inpressnonen_US
hal.identifierhal-03996833
hal.version1
hal.date.transferred2023-02-20T10:26:52Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Studies%20in%20Health%20Technology%20and%20Informatics&rft.date=2022-05-25&rft.volume=294:%20Challenges%20of%20Trustable%20AI%20and%20Added-Value%20on%20Health&rft.spage=419-420&rft.epage=419-420&rft.au=THIAO%20LAYEL,%20Bruno&JOUHET,%20Vianney&BLIN,%20Guillaume&DIALLO,%20Abdourahmane%20Gayo&rft.genre=unknown


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