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Representation of Value Imperfection with the Aid of Background Knowledge: H-IFS

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Intelligent Techniques and Tools for Novel System Architectures

Part of the book series: Studies in Computational Intelligence ((SCI,volume 109))

Summary

An Integrated Data Management System is required for representing and managing indicative information from multiple sources describing the state of an enterprise. In such environments, information may be partially known because the related information from the real world corresponds to a set of possible values including the unknown. Here, we present a way to replace unknown values using background knowledge of data that is often available arising from a concept hierarchy, as integrity constraints, from database integration, or from knowledge possessed by domain experts. We present and examine the case of H-IFS to represent support contained in subsets of the domain as a candidate for replacing unknown values mostly referred in the literature as NULL values.

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Author information

Authors and Affiliations

  1. CLBME – Bulgarian Academy of Sciences, B1 105, Sofia-1113, Bulgaria

    Boyan Kolev & Krassimir Atanassov

  2. HSCS – University of Westminster, London, HAI 3TP, UK

    Panagiotis Chountas & Ermir Rogova

Authors
  1. Boyan Kolev
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  2. Panagiotis Chountas
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  3. Ermir Rogova
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  4. Krassimir Atanassov
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Editor information

Editors and Affiliations

  1. Harrow School of Computer Science, The University of Westminster, Watford Road Northwick Park, London, HA1 3TP, UK

    Panagiotis Chountas

  2. School of Informatics, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK

    Ilias Petrounias

  3. Systems Research Institute, Polish Academy of Sciences, Ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

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© 2008 Springer-Verlag Berlin Heidelberg

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Kolev, B., Chountas, P., Rogova, E., Atanassov, K. (2008). Representation of Value Imperfection with the Aid of Background Knowledge: H-IFS. In: Chountas, P., Petrounias, I., Kacprzyk, J. (eds) Intelligent Techniques and Tools for Novel System Architectures. Studies in Computational Intelligence, vol 109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77623-9_27

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  • DOI: https://doi.org/10.1007/978-3-540-77623-9_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77621-5

  • Online ISBN: 978-3-540-77623-9

  • eBook Packages: EngineeringEngineering (R0)

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