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Matching controlled vocabulary words.

Abstract : This study examines an enabling condition for natural languages access to medical knowledge resources (Medline, CISMeF) indexed with controlled vocabularies (e.g., the MeSH): is the vocabulary of user queries comparable with that of the index terms? The two vocabularies were compared in their original form, then under incrementally normalized forms, using character-based normalizations then linguistic normalizations. Only 16.7% of the user vocabulary, in its original form, is in the MeSH. Progressive normalizations increase this proportion to 65.5%. Besides, if the frequencies of occurrence of words are taken into account, 89.3% of user word occurrences can be matched to MeSH words. This shows the interest of taking into account further matching methods between queries and index terms than those presented here.
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Contributor : Lina F Soualmia <>
Submitted on : Wednesday, July 17, 2013 - 1:46:30 AM
Last modification on : Thursday, June 17, 2021 - 3:48:54 AM


  • HAL Id : hal-00845377, version 1
  • PUBMED : 14664027


Natalia Grabar, Pierre Zweigenbaum, Lina F Soualmia, Stéfan Darmoni. Matching controlled vocabulary words.. Studies in Health Technology and Informatics, IOS Press, 2003, 95, pp.445-50. ⟨hal-00845377⟩



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