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Structural Matching and Discovery in Document Databases

Summary: Documents as ordered labeled trees enable structural matching and discovery in SGML/HTML. TreeDiff computes an optimal tree-edit script (insert/delete/change) under approximate matching, enabling change detection and versioning for document databases. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3053
Venue
SIGMOD
Year
1997
Pagerank
7.0854981e-05
Overall Rank
3,833 | 73.71%
DOI
10.1145/253260.253406

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod97,
        title = {{Structural Matching and Discovery in Document Databases}},
        author = {Wang, Jason Tsong-Li and Shasha, Dennis and Chang, George J. S. and Relihan, Liam and Zhang, Kaizhong and Patel, Girish},
        series = {{SIGMOD} '97},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/253260.253406},
        url = {https://dl.acm.org/doi/10.1145/253260.253406},
        year = {1997}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
183 Applying Model Management to Classical Meta Data Problems 2003 CIDR 0.00026283359
5,061 Comparing Hierarchical Data in External Memory 1999 VLDB 6.3801057e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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