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Handling imperfection in databases: A modal logic approach

  • Uncertainty Handling and Qualitative Reasoning
  • Conference paper
  • First Online:
Database and Expert Systems Applications (DEXA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1308))

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Abstract

An extended relational data model that can deal with various kinds of imperfect information is shown under a modal logic approach. This gives a new direction to deal with imperfect information. In our extension various kinds of imperfect information can be handled simultaneously, although an extended relational model has been related with one kind of imperfect information so far. This is because our extended data model has a uniform expression and the same operations to various kinds of imperfect information. Moreover our model can support flexible queries as well as conventional queries. Thus, our approach gives an important basis to integrate different kinds of databases handling different sorts of imperfect information.

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Author information

Authors and Affiliations

  1. Department of Information Science, Chiba-Keizai College, 4-3-30 Todoroki-cho, 263, Inage-ku, Chiba, Japan

    Michinori Nakata

  2. Dipartimento di Matematica, Universita Cattolica, Via Trieste 17, Brescia, Italy

    Germano Resconi

  3. Division of Systems and Information Engineering, Graduate School of Engineering, Hokkaido University, Kita 13, Nishi 8, 060, Kita-ku, Sapporo, Japan

    Tetsuya Murai

Authors
  1. Michinori Nakata
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  2. Germano Resconi
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  3. Tetsuya Murai
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Editor information

Abdelkader Hameurlain A Min Tjoa

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© 1997 Springer-Verlag Berlin Heidelberg

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Nakata, M., Resconi, G., Murai, T. (1997). Handling imperfection in databases: A modal logic approach. In: Hameurlain, A., Tjoa, A.M. (eds) Database and Expert Systems Applications. DEXA 1997. Lecture Notes in Computer Science, vol 1308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0022069

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  • DOI: https://doi.org/10.1007/BFb0022069

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63478-2

  • Online ISBN: 978-3-540-69580-6

  • eBook Packages: Springer Book Archive

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