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Measuring the Structural Similarity of Semistructured Documents Using Entropy

Summary: Entropy-based measure of structural similarity for semistructured documents using extracted structure and Ziv-Lempel or Ziv-Merhav crossparsing to compute entropy. Claims the first linear-time approach for this problem, with clustering results rivaling existing methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9513
Venue
VLDB
Year
2007
Pagerank
4.4760331e-05
Overall Rank
8,632 | 40.01%
DOI
-

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Rank Citing Paper Year Venue Pagerank
3,766 Keyword Search over Relational Databases: A Metadata Approach 2011 SIGMOD 6.7753484e-05
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