Maintenance of a Case-Base for the Retrieval of Rotationally Symmetric Shapes for the Design of Metal Castings

  • Tony Mileman
  • Brian Knight
  • Miltos Petridis
  • Keith Preddy
  • Patrick Mejasson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1898)


In this paper, we discuss the problem of maintenance of a CBR system for retrieval of rotationally symmetric shapes. The special feature of this system is that similarity is derived primarily from graph matching algorithms. The special problem of such a system is that it does not operate on search indices that may be derived from single cases and then used for visualisation and principle component analyses. Rather, the system is built on a similarity metric defined directly over pairs of cases. The problems of efficiency, consistency, redundancy, completeness and correctness are discussed for such a system. Performance measures for the CBR system are given, and the results for trials of the system are presented. The competence of the current case-base is discussed, with reference to a representation of cases as points in an n-dimensional feature space, and a Gramian visualisation. A refinement of the case base is performed as a result of the competence analysis and the performance of the case-base before and after refinement is compared.


Case Base Symmetric Shape Metal Casting Case Retrieval Search Index 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Tony Mileman
    • 1
  • Brian Knight
    • 1
  • Miltos Petridis
    • 1
  • Keith Preddy
    • 1
  • Patrick Mejasson
    • 1
  1. 1.School of Computing and MathematicsUniversity of GreenwichGreenwichUK

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