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Change Detection in Hierarchically Structured Information

Summary: Hierarchical change detection framed as a minimum-cost edit script transforming one data tree into another, with domain-aware algorithms that beat general tree-edit methods. Analytical and empirical evaluation on hierarchically structured documents, with practical visualization of edits (tombstones, moves, color cues) to communicate changes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2909
Venue
SIGMOD
Year
1996
Pagerank
0.00012248349
Overall Rank
1,390 | 90.34%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
401 View Maintenance in a Warehousing Environment 1995 SIGMOD 0.00024214488
2,593 A Database Interface for File Update 1995 SIGMOD 8.4746844e-05
2,745 On Implementing a Language for Specifying Active Database Execution Models 1993 VLDB 8.1886759e-05
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