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Digital Document Processing pp 351–378Cite as

Document Information Retrieval

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Part of the Advances in Pattern Recognition book series (ACVPR)

Keywords

  • Query Processing
  • Relevance Feedback
  • Document Image
  • Query Term
  • Query Expansion

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Department of Database and Information Systems (DBIS), University of Trier, 54286, Trier, GERMANY

    Stefan Klink

  2. Department of Computer Science and Intelligent System, Osaka Prefecture University, 1-1 Gakuencho, 599-8531, Sakai, Osaka, Japan

    Koichi Kise

  3. German Research Center for Artificial Intelligence (DFKI), 67608, Kaiserslautern, GERMANY

    Andreas Dengel

  4. German Research Center for Artificial Intelligence (DFKI), 67608, Kaiserslautern, GERMANY

    Markus Junker

  5. German Research Center for Artificial Intelligence (DFKI), 67608, Kaiserslautern, GERMANY

    Stefan Agne

Authors
  1. Koichi Kise
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  2. Andreas Dengel
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  3. Markus Junker
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  4. Stefan Agne
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Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Kolkata, India

    Bidyut B. Chaudhuri PhD

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© 2007 Springer-Verlag London Limited

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Cite this chapter

Klink, S., Kise, K., Dengel, A., Junker, M., Agne, S. (2007). Document Information Retrieval. In: Chaudhuri, B.B. (eds) Digital Document Processing. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84628-726-8_16

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  • DOI: https://doi.org/10.1007/978-1-84628-726-8_16

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-501-1

  • Online ISBN: 978-1-84628-726-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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