Similarity metric for XML documents

Abstract

Since XML documents can be represented as trees, Based on traditional tree edit distance, this paper presents structural similarity metric for XML documents,which is based on edge constraint, path constraint, and inclusive path constraint, and similarity metric based on machine learning with node costs. It extends scope for searching XML documents, and improves recall and precision for searching XML documents.