REDIRECT: Mapping Drug Prescriptions and Evidence from Biomedical Literature.

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  • Additional Information
    • Source:
      Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform
    • Publication Information:
      Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
    • Subject Terms:
      Biological Ontologies* ; Drug Prescriptions* ; Knowledge Bases* ; PubMed*/standards ; PubMed*/trends ; Semantic Web*; Humans ; Semantics ; Vocabulary, Controlled
    • Abstract:
      To 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.
    • Contributed Indexing:
      Keywords: Knowledge Resource; Knowledge warehouse; RDF; meta-model; ontology; semantic; terminology
    • Publication Date:
      Date Created: 20220525 Date Completed: 20220526 Latest Revision: 20220602
    • Publication Date:
      20240105
    • Accession Number:
      10.3233/SHTI220491
    • Accession Number:
      35612113