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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
2991
Venue
SIGMOD
Year
1997
Pagerank
7.5033864e-05
Overall Rank
3,128 | 78.25%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
188 Applying Model Management to Classical Meta Data Problems 2003 CIDR 0.00035968389
4,941 Comparing Hierarchical Data in External Memory 1999 VLDB 5.8179899e-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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