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Entity Resolution with Evolving Rules

Summary: Keeps ER results up-to-date as rules evolve by reusing materialized results instead of re-running from scratch. Proposes evolution-aware algorithm properties and efficient rule-evolution methods for match-based and distance-based clustering, with real-data evaluation showing cost savings. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10067
Venue
VLDB
Year
2010
Pagerank
6.996132e-05
Overall Rank
3,535 | 75.44%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
4,380 Incremental Record Linkage 2014 VLDB 6.2325868e-05
6,110 Why Big Data Industrial Systems Need Rules and What We Can Do About It 2015 SIGMOD 5.2021568e-05
6,179 Query-Driven Approach to Entity Resolution 2013 VLDB 5.1645342e-05
6,468 Explain3D: Explaining Disagreements in Disjoint Datasets 2019 VLDB 5.0448709e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
11 Implementing Data Cubes Efficiently 1996 SIGMOD 0.0011695087
67 The Merge/Purge Problem for Large Databases 1995 SIGMOD 0.00061419648
663 A Framework for Clustering Evolving Data Streams 2003 VLDB 0.00018466049
1,408 Entity Resolution with Iterative Blocking 2009 SIGMOD 0.00012162791
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