Computing approximate tree edit distance using relaxation labeling

  • Authors:
  • Andrea Torsello;Edwin R. Hancock

  • Affiliations:
  • Department of Computer Science, University of York, York, YO10 5DD, UK;Department of Computer Science, University of York, York, YO10 5DD, UK

  • Venue:
  • Pattern Recognition Letters - Special issue: Graph-based representations in pattern recognition
  • Year:
  • 2003

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Abstract

This paper presents a new method for computing the tree edit distance problem with uniform edit cost. We commence by showing that any tree obtained with a sequence of cut operations is a subtree of the transitive closure of the original tree, we show that the necessary condition for any subtree to be a solution can be reduced to a clique problem in a derived structure. Using this idea we transform the problem of computing tree edit distance into a series of maximum weight clique problems. We, then use relaxation labeling to find an approximation to the tree edit distance.