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)


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.


Information Retrieval Databases Heterogeneous Data Sources Integration Natural Language Query Interface 


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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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