Biomedical Text Mining Using a Grid Computing Approach

  • Marcello Castellano
  • Giuseppe Mastronardi
  • Giacinto Decataldo
  • Luca Pisciotta
  • Gianfranco Tarricone
  • Lucia Cariello
  • Vitoantonio Bevilacqua
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5227)

Abstract

Extracting useful information from a very large amount of biomedical texts is an important and difficult activity in biomedicine field. Data to be examined are generally unstructured and the available computational resources do not still provide adequate mechanisms for retrieving and analyse very large amount of contents. In this paper we present a rule-based system for Text Mining process applied in biomedical textual documents. This application requires a strongly use of the computational resource to perform intensive operations. We propose a grid computing approach to improve application performance.

Keywords

Text Mining Computational Grid SIMD Knowledge Discovery Biomedical Document Analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Marcello Castellano
    • 1
    • 2
  • Giuseppe Mastronardi
    • 1
    • 2
  • Giacinto Decataldo
    • 1
  • Luca Pisciotta
    • 1
  • Gianfranco Tarricone
    • 1
  • Lucia Cariello
    • 1
    • 2
  • Vitoantonio Bevilacqua
    • 1
    • 2
  1. 1.Dipartimento di Elettrotecnica ed Elettronica Politecnico di Barivia Orabona BariItaly
  2. 2.e.B.I.S. s.r.l. (electronic Business in Security)Spin-Off of Polytechnic of BariValenzano (BA)Italy

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