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Combining Knowledge-Based Methods to Refine and Expand Queries in Medicine

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Flexible Query Answering Systems (FQAS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3055))

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Abstract

Information retrieval remains problematic in spite of the numerous existing search engines. It is the same problem for health information retrieval. We propose in this paper to combine three knowledge-based methods to enhance information retrieval using query expansion in the context of the CISMeF project (Catalogue and Index of French-speaking Medical Sites) in which the resources are indexed according to a structured terminology of the medical domain and a set of metadata. The first method consists of building and using morphological knowledge of the terms. The second method consists of extracting association rules between terms by applying a data mining technique over the indexed resources. The last method consists of formalizing the terminology using the OWL-DL language to benefit from its powerful reasoning mechanisms. We describe how these methods could be used conjointly in the KnowQuE prototype (Knowledge-based Query Expansion) and we give some preliminary results.

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Author information

Authors and Affiliations

  1. CISMeF & L@STICS, Rouen University Hospital, 76031, Rouen, France

    Lina F. Soualmia

  2. PSI Laboratory FRE CNRS 2645, INSA-Rouen, 76131, Mont-Saint Aignan, France

    Stéfan Jacques Darmoni

Authors
  1. Lina F. Soualmia
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  2. Stéfan Jacques Darmoni
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Editor information

Editors and Affiliations

  1. Research group PLIS: Programming, Logic and Intelligent Systems, Department of Communication, Business and Information Technologies, Roskilde University, P.O. Box 260, DK-4000, Roskilde, Denmark

    Henning Christiansen

  2. LIRIS - UFR d’Informatique, Université Claude Bernard Lyon 1, 43, boulevard du 11 novembre 1918,, 69622, Villeurbanne, France

    Mohand-Saïd Hacid

  3. Department of Computer Science, Roskilde University, P.O. Box 260, DK-4000, Roskilde, Denmark

    Troels Andreasen

  4. Department of Computer Science and Engineering, Aalborg University Esbjerg, Niels Bohrs Vej 8Niels Bohrs Vej 8, 6700, Esbjerg, Denmark

    Henrik Legind Larsen

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© 2004 Springer-Verlag Berlin Heidelberg

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Soualmia, L.F., Darmoni, S.J. (2004). Combining Knowledge-Based Methods to Refine and Expand Queries in Medicine. In: Christiansen, H., Hacid, MS., Andreasen, T., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2004. Lecture Notes in Computer Science(), vol 3055. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25957-2_20

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  • DOI: https://doi.org/10.1007/978-3-540-25957-2_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22160-9

  • Online ISBN: 978-3-540-25957-2

  • eBook Packages: Springer Book Archive

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