Thesaurus-based query and document expansion in conceptual indexing with UMLS

Abstract : UMLS is known as largest thesaurus in biomedical domain constructed by Library National of Medicine. In this paper, we aim to evaluate effect of the exploration of UMLS knowledge in medical domain information retrieval by mapping large text of collection ImageCLEFMed to UMLS concepts, and expanding queries and documents automatically base on semantic relations in the UMLS hierarchy. We get the encouraging result with the best enhancement on MAP of 66% compared to text only retrieval, and 34% compared to conceptual indexing baseline.
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Communication dans un congrès
RIVF'07, 2007, Unknown, 2007
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https://hal.inria.fr/hal-00953878
Contributeur : Marie-Christine Fauvet <>
Soumis le : vendredi 28 février 2014 - 16:03:01
Dernière modification le : mercredi 7 novembre 2018 - 13:32:03

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  • HAL Id : hal-00953878, version 1

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Thi Hoang Diem Le, Jean-Pierre Chevallet, Thi-Bich-Thuy Dong. Thesaurus-based query and document expansion in conceptual indexing with UMLS. RIVF'07, 2007, Unknown, 2007. 〈hal-00953878〉

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