Mining knowledge from corpora: an application to retrieval and indexing.

Abstract : The present work aims at discovering new associations between medical concepts to be exploited as input in retrieval and indexing. MATERIAL AND METHODS: Association rules method is applied to documents. The process is carried out on three major document categories referring to e-health information consumers: health professionals, students and lay people. Association rules evaluation is founded on statistical measures combined with domain knowledge. RESULTS: Association rules represent existing relations between medical concepts (60.62%) and new knowledge (54.21%). Based on observations, 463 expert rules are defined by medical librarians for retrieval and indexing. CONCLUSIONS: Association rules bear out existing relations, produce new knowledge and support users and indexers in document retrieval and indexing.
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Article dans une revue
Studies in Health Technology and Informatics, IOS Press, 2008, 136, pp.467-72
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https://hal.inria.fr/hal-00845366
Contributeur : Lina F Soualmia <>
Soumis le : mercredi 17 juillet 2013 - 01:06:35
Dernière modification le : mardi 5 juin 2018 - 10:14:25

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  • HAL Id : hal-00845366, version 1
  • PUBMED : 18487775

Citation

Lina F Soualmia, Badisse Dahamna, Stéfan Darmoni. Mining knowledge from corpora: an application to retrieval and indexing.. Studies in Health Technology and Informatics, IOS Press, 2008, 136, pp.467-72. 〈hal-00845366〉

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