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Journal Articles Studies in Health Technology and Informatics Year : 2008

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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Dates and versions

hal-00845366 , version 1 (17-07-2013)

Identifiers

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

Cite

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