title: Auditing the NCI thesaurus with semantic web technologies.
abstract: 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.
authors.affiliation: LESIM, INSERM U897, ISPED, University Victor Segalen Bordeaux 2, France. fleur.mougin@isped.u-bordeaux2.fr
authors.forename: Fleur
authors.initials: F
authors.lastname: Mougin
authors.forename: Olivier
authors.initials: O
authors.lastname: Bodenreider
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D008485:Medical Audit; D016347:Medical Records Systems, Computerized; D054547:National Cancer Institute (U.S.); D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D012660:Semantics; D013358:Subject Headings; D014481:United States; D018875:Vocabulary, Controlled