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Similarity of DTDs Based on Edit Distance and Semantics

  • Aleš Wojnar
  • Irena Mlýnková
  • Jiří Dokulil
Part of the Studies in Computational Intelligence book series (SCI, volume 162)

Abstract

In this paper we propose a technique for evaluating similarity of XML schema fragments. Contrary to existing works we focus on structural level in combination with semantic similarity of the data. For this purpose we exploit the idea of edit distance utilized to constructs of DTDs which enables to express the structural differences of the given data more precisely. In addition, in combination with the semantic similarity it provides more realistic results. Using various experiments we show the behavior and advantages of the proposed approach.

Keywords

Semantic Similarity Edit Distance Tree Representation Edit Operation Cardinality Constraint 
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 2008

Authors and Affiliations

  • Aleš Wojnar
    • 1
  • Irena Mlýnková
    • 1
  • Jiří Dokulil
    • 1
  1. 1.Charles University in PragueCzech Republic

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