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Article Dans Une Revue AMIA Annual Symposium Proceedings Année : 2008

Auditing the NCI thesaurus with semantic web technologies

Fleur Mougin
Olivier Bodenreider
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Résumé

Auditing biomedical terminologies often results in the identification of inconsistencies and thus helps to improve their quality. In this paper, we present a method based on Semantic Web technologies for auditing biomedical terminologies and apply it to the NCI thesaurus. We stored the NCI thesaurus concepts and their properties in an RDF triple store. By querying this store, we assessed the consistency of both hierarchical and associative relations from the NCI thesaurus among themselves and with corresponding relations in the UMLS Semantic Network. We show that the consistency is better for associative relations than for hierarchical relations. Causes for inconsistency and benefits from using Semantic Web technologies for auditing purposes are discussed.

Dates et versions

hal-02987793 , version 1 (04-11-2020)

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Fleur Mougin, Olivier Bodenreider. Auditing the NCI thesaurus with semantic web technologies. AMIA Annual Symposium Proceedings, 2008, pp.500-4. ⟨hal-02987793⟩

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