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

Authors:
Thi Hoang Le;Jean-Pierre Chevallet;Joo Hwee Lim
Affiliations:
IPAL French-Singaporean Joint Lab, Institute for Infocomm Research (I2R), Centre National de la Recherche Scientifique (CNRS), Singapore 119613;IPAL French-Singaporean Joint Lab, Institute for Infocomm Research (I2R), Centre National de la Recherche Scientifique (CNRS), Singapore 119613;IPAL French-Singaporean Joint Lab, Institute for Infocomm Research (I2R), Centre National de la Recherche Scientifique (CNRS), Singapore 119613
Venue:
Advances in Multilingual and Multimodal Information Retrieval
Year:
2008

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Abstract

We describe a conceptual indexing method using UMLS meta-thesaurus. Concepts are automatically mapped from text using 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. Different types of relations are experimented in this model to evaluate their efficiency in retrieval.