REDIRECT: Mapping Drug Prescriptions and Evidence from Biomedical Literature.
Knowledge Resource
Knowledge warehouse
RDF
meta-model
ontology
semantic
terminology
Journal
Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582
Informations de publication
Date de publication:
25 May 2022
25 May 2022
Historique:
entrez:
25
5
2022
pubmed:
26
5
2022
medline:
27
5
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35612113
pii: SHTI220491
doi: 10.3233/SHTI220491
doi:
Types de publication
Journal Article
Langues
eng