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ABSTRACT
Regular Hedge Grammar is a formal method to specify XML schema. XML document can be viewed as an ordered labeled tree. Computing the approximate matching between an XML document with a schema with minimum cost is not only theoretically interesting. This problem can be modeled as: Given an ordered labeled tree F and a regular hedge grammar P, how to compute the minimum edit distance to transform the forest F into F' so that F' is exactly matched by P. In this paper, with the introduction of leaf forest, we gave an algorithm for this problem in O(F2P(F + log P)) time, where F is the size of the forest and P is the size of the grammar. From the authors' knowledge, this is the first algorithm to transform an XML document (ordered labeled tree) to conform to a schema (tree grammar). REFERENCES
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REVIEW
"Anthony Joseph Duben : Reviewer"
The estimation of the cost of evaluating the match between an Extensible Markup Language (XML) document and a schema is a problem of practical significance. Since XML is becoming increasingly prevalent as the underlying language for describing doc
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