Querying a database with fuzzy attribute values by iterative updating of the selection criteria

  • J. F. Baldwin
  • M. R. Coyne
  • T. P. Martin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 847)


With multimedia now a commercial reality the need for more flexible forms of data retrieval is again becoming important. We introduce the need for fuzzy features to describe pictures or sounds such that a database querying system may select a subset of the database entries which conform to vague descriptions of multimedia data objects. We suggest that an iterative style of querying is important to fuzzy querying and is consistent with human conversation where a dialogue between two parties provides a clearer solution than as a result of a monologue. We introduce the concept of semantic unification to provide a fuzzy feature matching facility as well as evidential support logic to combine the solutions for a series of features. Finally we demonstrate the theory with a small database of British mammals interpreting the solutions and showing the facilities that fuzzy querying can allow.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • J. F. Baldwin
    • 1
  • M. R. Coyne
    • 1
  • T. P. Martin
    • 1
  1. 1.A.I. Group, Dept of Engineering MathematicsUniversity of BristolEngland

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