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Contribution to an automated indexing of French-language health web sites
Michel Joubert1, Anne-Laure Peretti, Stefan Darmoni
1LERTIM, Faculté de Médecine, Université de la Méditerranée, Marseille, France.
Objectives:
to improve the indexing of French-language health web sites by emphasizing the major terms that best describe them.
Material And Methods:
this study exploits both UMLS knowledge sources and results of previous research. It proposes a method for ranking MeSH terms taken from each record in order of relevance. The method is tested on a corpus of records taken from the French-language health gateway CISMeF.
Results:
the results of the experiment are compared to those of a preliminary study performed on a corpus taken from MEDLINE.
Discussion:
the ultimate objective of this work is to interface the developed tools with an automated MeSH term extractor in order to propose an automated indexing engine for French-language health web sites.
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