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Communication Dans Un Congrès Année : 2008

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

Résumé

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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Dates et versions

hal-00954091 , version 1 (28-02-2014)

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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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