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Designing Similarity Measures for XML

  • Ismael Sanz
  • María Pérez
  • Rafael Berlanga
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5231)

Abstract

In this demonstration we will show a series of tools that support a methodology [1] for the design of complex similarity functions in the context of heterogenous XML systems.

Keywords

Test Collection Information System Technology Candidate Measure Music Retrieval Shape Database 
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.

References

  1. 1.
    Sanz, I., Pérez, M., Berlanga, R.: Measure selection in multi-similarity XML applications. In: Third International Workshop on Flexible Database and Information System Technology (FlexDBIST-2008) (2008)Google Scholar
  2. 2.
    Sanz, I., Mesiti, M., Guerrini, G., Berlanga, R.: Fragment-based approximate retrieval in highly heterogeneous XML collections. Data & Knowledge Engineering 64(1), 266–293 (2008)CrossRefGoogle Scholar
  3. 3.
    Fagin, R., Kumar, R., Sivakumar, D.: Comparing top-k lists. SIAM Journal on Discrete Mathematics 17(1), 134–160 (2003)MathSciNetCrossRefzbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Ismael Sanz
    • 1
  • María Pérez
    • 1
  • Rafael Berlanga
    • 1
  1. 1.Universitat Jaume I de CastellóSpain

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