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2008

Mining Knowledge from Corpora: an Application to Retrieval and Indexing

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Mining Knowledge from Corpora: an Application to Retrieval and Indexing
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. Keywords. Data Analysis; Indexing; Terminology; Data Mining; MeSH.
Lina Fatima Soualmia, Badisse Dahamna, Stéf
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where MIE
Authors Lina Fatima Soualmia, Badisse Dahamna, Stéfan Jacques Darmoni
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