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Intelligent Information Processing and Web Mining pp 279–288Cite as

Data Merging in Life Science Data Integration Systems

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Part of the book series: Advances in Soft Computing ((AINSC,volume 31))

Abstract

An index-driven integration system provides access to a multitude of data sources: it uses pre-compiled indexes covering content of these sources. Such a scenario is especially attractive in life science applications which integrate data from hundreds of very valuable carefully maintained databases. A key bottleneck in building such systems is data merging where partial answers obtained from different data sources are to be merged and the problem of overlapping data should be solved. In response to a query the most informative redundancy-free answer should be constructed. In the paper we propose a formal foundation for merging XML-like data and discuss indexing support for data merging.

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Author information

Authors and Affiliations

  1. Institute of Control and Information Engineering, Poznań University of Technology, Poland

    Tadeusz Pankowski

  2. Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poland

    Tadeusz Pankowski

  3. Department of Computing Science, University of Glasgow, UK

    Ela Hunt

Authors
  1. Tadeusz Pankowski
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  2. Ela Hunt
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Editor information

Editors and Affiliations

  1. Institute of Computer Sciences, Polish Academy of Sciences, ul. Ordona 21, 01-237, Warszawa, Poland

    Mieczysław A. Kłopotek , Sławomir T. Wierzchoń  & Krzysztof Trojanowski ,  & 

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© 2005 Springer-Verlag Berlin Heidelberg

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Pankowski, T., Hunt, E. (2005). Data Merging in Life Science Data Integration Systems. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_29

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  • DOI: https://doi.org/10.1007/3-540-32392-9_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25056-2

  • Online ISBN: 978-3-540-32392-1

  • eBook Packages: EngineeringEngineering (R0)

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