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Towards an Axiomatic Aboutness Theory for Information Retrieval

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Information Retrieval: Uncertainty and Logics

Part of the book series: The Kluwer International Series on Information Retrieval ((INRE,volume 4))

Abstract

In order to improve IR techniques, a detailed study of matching in IR systems is needed. This would allow us to evaluate, the way IR systems compute aboutness of documents with respect to queries.

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Author information

Authors and Affiliations

  1. DOXiS Castellum, Loire 118, 2266, JR Leidschendam, The Netherlands

    Theo Huibers

  2. Computing Science Institute, University of Nijmegen, 6525, ED Nijmegen, The Netherlands

    Bernd Wondergem

Authors
  1. Theo Huibers
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  2. Bernd Wondergem
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Editor information

Editors and Affiliations

  1. University of Glasgow, Glasgow, Scotland

    Fabio Crestani , Mounia Lalmas  & Cornelis Joost van Rijsbergen ,  & 

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Huibers, T., Wondergem, B. (1998). Towards an Axiomatic Aboutness Theory for Information Retrieval. In: Crestani, F., Lalmas, M., van Rijsbergen, C.J. (eds) Information Retrieval: Uncertainty and Logics. The Kluwer International Series on Information Retrieval, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5617-6_12

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  • DOI: https://doi.org/10.1007/978-1-4615-5617-6_12

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7570-8

  • Online ISBN: 978-1-4615-5617-6

  • eBook Packages: Springer Book Archive

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