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Information Filters Supplying Data Warehouses with Benchmarking Information

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Knowledge Discovery for Business Information Systems

Part of the book series: The International Series in Engineering and Computer Science ((SECS,volume 600))

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Abstract

Alphanumeric data contained within a data warehouse represents “structured content”. In contrast, the web is mostly composed of static pages of text and images, generally referred to as “unstructured content”. As information systems grow to deliver better decision support, adding the unstructured content from the web to the structured content from the data warehouse becomes an important issue. In this chapter we establish the framework for supplying data warehouses with relevant information filtered from the web.

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Author information

Authors and Affiliations

  1. Department of Computer Science, The Poznań University of Economics, al. Niepodleglości 10, 60-967, Poznań, Poland

    Witold Abramowicz, Paweł Jan Kalczyński & Krzysztof Węcel

Authors
  1. Witold Abramowicz
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  2. Paweł Jan Kalczyński
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  3. Krzysztof Węcel
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Editor information

Editors and Affiliations

  1. The Poznań University of Economics, Poland

    Witold Abramowicz

  2. University of Louisville, USA

    Jozef Zurada

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© 2002 Kluwer Academic Publishers

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Abramowicz, W., Kalczyński, P.J., Węcel, K. (2002). Information Filters Supplying Data Warehouses with Benchmarking Information. In: Abramowicz, W., Zurada, J. (eds) Knowledge Discovery for Business Information Systems. The International Series in Engineering and Computer Science, vol 600. Springer, Boston, MA. https://doi.org/10.1007/0-306-46991-X_1

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  • DOI: https://doi.org/10.1007/0-306-46991-X_1

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-7923-7243-1

  • Online ISBN: 978-0-306-46991-6

  • eBook Packages: Springer Book Archive

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