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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Soualmia, L., Barry, C., Darmoni, S.J.: Knowledge-Based Query Expansion over a Medical Terminology Oriented Ontology. In: Dojat, M., Keravnou, E.T., Barahona, P. (eds.) AIME 2003. LNCS (LNAI), vol. 2780, pp. 209–213. Springer, Heidelberg (2003)
Darmoni, S.J., Thirion, B., Leroy, J.P., et al.: A Search Tool based on ‘Encapsulated’ MeSH Thesaurus to Retrieve Quality Health Resources on the Internet. Medical Informatics & the Internet in Medicine 26(3), 165–178 (2001)
Zweigenbaum, P., Darmoni, S.J., Grabar, N.: The contribution of morphological knowledge to French MeSH mapping for information retrieval. JAMIA 8, 796–800 (2001)
Gaussier, E., Grefenstette, G., Hull, D., Roux, C.: Recherche d’information en français et traitement automatique des langues. Journal TAL 41(2), 473–493 (2000)
Savoy, J.: Morphologie et recherche d’information. Cahier de recherche en informatique CR-I-2002-01, Université de Neuchatel, Division économique et sociale, Faculté de Droit et des Sciences Économiques (2002)
Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules in Large Databases. In: Proceedings VLDB Conference, pp. 478–499 (1994)
Horrocks, I., Patel-Schneider, P.F., van Harmelen, F.: From SHIQ and RDF to OWL: The making of a web ontology language. Journal of Web Semantics (2003) (to appear)
Baker, T.: A Grammar of Dublin Core. Digital-Library Magazine, 6(10) (2000)
Darmoni, S.J., Leroy, J.P., Baudic, F., et al.: CISMeF: a structured Health resource guide. Methods Informatics in Medicine 39(1), 30–35 (2000)
Berners-Lee, T., Heudler, J., Lassila, O.: The Semantic Web. Scientific American 284(5), 34–43 (2001)
Mayer, M.A., Darmoni, S.J., Fiene, M., et al.: MedCIRCLE Modeling on the Semantic Web. In: Surjan, Engelbrecht, McNair (eds.) Stud. Health Technol. Inf., 95th edn., pp. 667–672 (2003)
Nelson, S.J., Johnson, W.D., Humphreys, B.L.: Relationships in Medical Subject Headings. In: Bean, Green (eds.), pp. 171–184 (2001)
Sowa, J.F.: Ontology, Metadata and Semiotics. In: Ganter, B., Mineau, G.W. (eds.) ICCS 2000. LNCS (LNAI), vol. 1867, pp. 55–81. Springer, Heidelberg (2000)
Lovis, C., Baud, R.: Fast Exact String Pattern-Matching Algorithms Adapted to the Characteristics of the Medical Language. JAMIA 7(4), 378–391 (2000)
McCray, A.T., Srinivasan, S., Browne, A.C.: Lexical Methods for Managing Variation in Biomedical Terminologies. In: Proc 18th Annu Symp Comput Appl Med Care, pp. 235–239 (1994)
Lovis, C., Michel, P.A., Baud, R., Scherrer, J.R.: Word Segmentation Processing: a way to Exponentially Extend Medical Dictionaries. In: Greenes, Peterson, Protti (eds.) Proc 8th World Congress on Medical Informatics, pp. 28–32 (1995)
Jacquemin, C., Tzoukermann, E.: NLP for Term Variant Extraction: A Synergy of Morphology, Lexicon, and Syntax. In: Strzalkowski (ed.) NLP and IR, pp. 25–74 (1999)
Hamon, T., Nazarenko, A., Gros, C.: A Step Towards the Detection of Semantic Variants of Terms in Technical Documents. In: Proc 17th ACL-COLING, pp. 498–504 (1998)
Zweigenbaum, P., Baud, R., Burgun, A., et al.: Towards a Unified Medical Lexicon for French. Stud. in Health Technol. Inf. 95, 415–420 (2003)
New, B., Pallier, C., Ferrand, L., Matos, R.: Une Base de Données Lexicales du Français Contemporain sur Internet: LEXIQUE, L’Année Psychologique, 447–462 (2001)
Davey, B.A., Priestley, H.A.: Introduction to Lattices and Order. Cambridge University Press, Cambridge (1994)
Pasquier, N., Bastide, Y., Taouil, R., Lakhal, L.: Efficient Mining of Association Rules Using Closed Itemset Lattices. Information Systems 24(1), 25–46 (1999)
Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations. Springer, Heidelberg (1999)
Schulz, S., Hahn, U.: Medical Knowledge Re-engineering – converting major portions of the UMLS into a terminological knowledge base. IJMI 64(2-3), 207–221 (2001)
Horrocks, I., Rector, A.: Experience Building a Large, Re-usable Medical Ontology using a Description Logic with Transitivity and Concept Inclusions. In: Workshop on Ontological Engineering AAA Spring Symposium (1997)
Cornet, R., Abu-Hanna, A.: Usability of Expressive Description Logics – A Case Study in UMLS. In: Proceedings of the AMIA 2002 Annual Symposium, pp. 180–184 (2002)
Kashyap, V., Borgida, A.: Representing the UMLS Semantic Network using OWL. In: Proceedings of the 2nd International Semantic Web Conference (2003)
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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
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