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. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Le, T. H. D., Chevallet, J. P., & Lim, J. H. (2008). Using bayesian network for conceptual Indexing: Application to medical document indexing with UMLS metathesaurus. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5152 LNCS, pp. 631–636). Springer Verlag. https://doi.org/10.1007/978-3-540-85760-0_80
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