Using Bayesian Network for Conceptual Indexing: Application to Medical Document Indexing with UMLS Metathesaurus

Thi Hoang Diem Le Jean-Pierre Chevallet 1 Joo-Hwee Lim
1 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : We describe a conceptual indexing method using UMLS meta-thesaurus. Concepts are automatically mapped from text us- ing MetaMap software tool for English, and a simplified mapping tool for other languages. The concepts and their semantic links given by UMLS are used to build a Bayesien network. Retrieval process is then an inference process of probabilities or weights. Dif- ferent types of relations are experimented in this model to evaluate their efficiency in retrieval.
Type de document :
Communication dans un congrès
CLEF 2007 Proceedings, 2008, Unknown, 2008, LNCS
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https://hal.inria.fr/hal-00954091
Contributeur : Marie-Christine Fauvet <>
Soumis le : vendredi 28 février 2014 - 16:12:55
Dernière modification le : jeudi 11 janvier 2018 - 06:22:06

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  • HAL Id : hal-00954091, version 1

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Thi Hoang Diem Le, Jean-Pierre Chevallet, Joo-Hwee Lim. Using Bayesian Network for Conceptual Indexing: Application to Medical Document Indexing with UMLS Metathesaurus. CLEF 2007 Proceedings, 2008, Unknown, 2008, LNCS. 〈hal-00954091〉

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