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Information Retrieval from Heterogeneous Data Sources: An Application for Managing Medical Records

  • Darien Rosa-Paz
  • Ramiro Pérez-Vázquez
  • Juan M. Fernández-Luna
  • Juan F. Huete
Part of the Communications in Computer and Information Science book series (CCIS, volume 221)

Abstract

Creating digital medical records and retrieve relevant information from them is a complex task. This complexity is given by the mixture of structured and unstructured information found in traditional medical records and that such information could be distributed in different data sources. The main contribution of this paper is the design of an architecture for an Information Retrieval (IR) system that integrates heterogeneous data sources, with a query interface in natural language. This system uses Natural Language Processing (NLP) techniques in order to transform the user query in subqueries to be executed on different data sources, profiting the query capabilities of Database (DB) and IR technologies. The system is connected to the MedlinePlus Medical Encyclopedia to extend the results obtained from a query showing relevant articles to it. In addition, a general application of this design is proposed to address the medical records management problem in a Cuban hospital.

Keywords

Information Retrieval Databases Heterogeneous Data Sources Integration Natural Language Query Interface 

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References

  1. 1.
    Telang, A., Chakravarthy, S.: Information Integration across Heterogeneous Domains: Current Scenario, Challenges and the InfoMosaic Approach. Technical report, University of Texas at Arlington, Texas (2007) Google Scholar
  2. 2.
    Clark, J., DeRose, S.: XML Path Language (XPath). Technical report, World-Wide-Web Consortium (W3C) (1999) Google Scholar
  3. 3.
    Trotman, A., Sigurbjörnsson, B.: Narrowed Extended XPath I (NEXI). In: Fuhr, N., Lalmas, M., Malik, S., Szlávik, Z. (eds.) INEX 2004. LNCS, vol. 3493, pp. 16–40. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  4. 4.
    Woodley, A., Geva, S.: NLPX at INEX 2006. In: Fuhr, N., Lalmas, M., Trotman, A. (eds.) INEX 2006. LNCS, vol. 4518, pp. 302–311. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  5. 5.
    Amer-Yahia, S., Case, P., Rölleke, T., Shanmugasundaram, J., Weikum, G.: Report on the DB/IR panel at SIGMOD 2005. SIGMOD Rec. 34, 71–74 (2005)CrossRefGoogle Scholar
  6. 6.
    Weikum, G.: DB&IR: both sides now. In: Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, pp. 25–30. ACM, Beijing (2007)CrossRefGoogle Scholar
  7. 7.
    Chamberlin, D.: XQuery: An XML query language. IBM Syst. J. 41, 597–615 (2002)CrossRefGoogle Scholar
  8. 8.
    Fuhr, N., Großjohann, K.: XIRQL: A query language for information retrieval in XML documents. In: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 172–180. ACM, New Orleans (2001)Google Scholar
  9. 9.
    Consens, M., Baeza-Yates, R.: Database and Information Retrieval Techniques for XML. In: Grumbach, S., Sui, L., Vianu, V. (eds.) ASIAN 2005. LNCS, vol. 3818, pp. 22–27. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  10. 10.
    Theobald, M., Schenkel, R., Weikum, G.: An efficient and versatile query engine for TopX search. In: Proceedings of the 31st International Conference on Very Large Data Bases, VLDB Endowment, Trondheim, Norway, pp. 625–636 (2005)Google Scholar
  11. 11.
    Abiteboul, S., Manolescu, I., Nguyen, B., Preda, N.: A Test Platform for the INEX Heterogeneous Track. In: Fuhr, N., Lalmas, M., Malik, S., Szlávik, Z. (eds.) INEX 2004. LNCS, vol. 3493, pp. 358–371. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  12. 12.
    Vossen, P.: EuroWordNet: A Multilingual Database with Lexical Semantic Networks. Kluwer Academic, Boston (1998)CrossRefzbMATHGoogle Scholar
  13. 13.
    Copestake, A., Jones, K.S.: Natural language interfaces to databases. An introduction. The Knowledge Engineering Review 5, 225–249 (1990)CrossRefGoogle Scholar
  14. 14.
    Tannier, X.: From Natural Language to NEXI, an Interface for INEX 2005 Queries. In: Fuhr, N., Lalmas, M., Malik, S., Kazai, G. (eds.) INEX 2005. LNCS, vol. 3977, pp. 373–387. Springer, Heidelberg (2006)Google Scholar
  15. 15.
    Popescu, A.-M., Etzioni, O., Kautz, H.: Towards a theory of natural language interfaces to databases. In: Proceedings of the 8th International Conference on Intelligent User Interfaces, pp. 149–157. ACM, Miami (2003)Google Scholar
  16. 16.
    Zargayouna, H., Rosas, V., Salotti, S.: Shallow Parsing of INEX Queries. In: Fuhr, N., Lalmas, M., Trotman, A. (eds.) INEX 2006. LNCS, vol. 4518, pp. 284–293. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  17. 17.
    U.S. National Library of Medicine, http://www.nlm.nih.gov/medlineplus/

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Darien Rosa-Paz
    • 1
  • Ramiro Pérez-Vázquez
    • 1
  • Juan M. Fernández-Luna
    • 2
  • Juan F. Huete
    • 2
  1. 1.Departamento de Ciencias de la ComputaciónUniversidad Central “Marta Abreu de Las VillasSanta ClaraCuba
  2. 2.Departamento de Ciencias de la Computación e Inteligencia ArtificialUniversidad de GranadaGranadaEspaña

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