REDIRECT: Mapping drug prescriptions and evidence from biomedical literature

Bruno Thiao Layel; Vianney Jouhet; Guillaume Blin; Gayo Diallo

doi:10.3233/SHTI220491

REDIRECT: Mapping drug prescriptions and evidence from biomedical literature

Bruno Thiao Layel, Vianney Jouhet, Guillaume Blin, Gayo Diallo

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

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.

Original language	English
Pages (from-to)	419-420
Number of pages	2
Journal	Stud Health Technol Inform
Volume	294
DOIs	https://doi.org/10.3233/SHTI220491
Publication status	Published - 25 May 2022

Keywords / Materials (for Non-textual outputs)

knowledge resource
RDF
meta model
ontology
terminology
semantic
knowledge warehouse

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10.3233/SHTI220491Licence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

DialloEtalIOS2022REDIRECTFinal published version, 112 KBLicence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

Cite this

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title = "REDIRECT: Mapping drug prescriptions and evidence from biomedical literature",

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.",

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author = "{Thiao Layel}, Bruno and Vianney Jouhet and Guillaume Blin and Gayo Diallo",

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doi = "10.3233/SHTI220491",

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AU - Thiao Layel, Bruno

AU - Jouhet, Vianney

AU - Blin, Guillaume

AU - Diallo, Gayo

PY - 2022/5/25

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KW - knowledge resource

KW - RDF

KW - meta model

KW - ontology

KW - terminology

KW - semantic

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JO - Stud Health Technol Inform

JF - Stud Health Technol Inform

ER -

REDIRECT: Mapping drug prescriptions and evidence from biomedical literature

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

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