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Improving Full Text Search with Text Mining Tools

  • Conference paper
Book cover Natural Language Processing and Information Systems (NLDB 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5723))

Abstract

Today, academic researchers face a flood of information. Full text search provides an important way of finding useful information from mountains of publications, but it generally suffers from low precision, or low quality of document retrieval. A full text search algorithm typically examines every word in a given text, trying to find the query words. Unfortunately, many words in natural language are polysemous, and thus many documents retrieved using this approach are irrelevant to actual search queries.

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Author information

Authors and Affiliations

  1. National Centre for Text Mining, School of Computer Science, The University of Manchester, Manchester, UK

    Scott Piao, Brian Rea, John McNaught & Sophia Ananiadou

Authors
  1. Scott Piao
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  2. Brian Rea
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  3. John McNaught
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  4. Sophia Ananiadou
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Editor information

Editors and Affiliations

  1. Institut für Computertechnologie, Technische Universität Wien, A-1040, Wien, Austria

    Helmut Horacek

  2. CNAM- Laboratoire Cédric, 292 Rue St. Martin, 75141, Paris Cedex 03, France

    Elisabeth Métais

  3. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Campus de San Vincente del Raspeig, Apdo 99, 03080, Alicante, Spain

    Rafael Muñoz

  4. Dept. of Computational Linguistics, Saarland University, Germany

    Magdalena Wolska

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Piao, S., Rea, B., McNaught, J., Ananiadou, S. (2010). Improving Full Text Search with Text Mining Tools. In: Horacek, H., Métais, E., Muñoz, R., Wolska, M. (eds) Natural Language Processing and Information Systems. NLDB 2009. Lecture Notes in Computer Science, vol 5723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12550-8_29

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  • DOI: https://doi.org/10.1007/978-3-642-12550-8_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12549-2

  • Online ISBN: 978-3-642-12550-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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