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

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.
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https://hal.inria.fr/hal-00954091
Contributor : Marie-Christine Fauvet <>
Submitted on : Friday, February 28, 2014 - 4:12:55 PM
Last modification on : Tuesday, December 8, 2020 - 10:42:46 AM

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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. ⟨hal-00954091⟩

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