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Learning Expressive Linkage Rules using Genetic Programming

Summary: GenLink uses genetic programming to learn expressive linkage rules from seed links. It selects discriminative properties, applies transformation chains, uses distance measures and thresholds, and combines comparisons with linear and non-linear aggregations to handle heterogeneous data—outperforming prior GP methods and approaching human-crafted rules. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10398
Venue
VLDB
Year
2012
Pagerank
6.7932071e-05
Overall Rank
3,744 | 73.96%
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
509 On Active Learning of Record Matching Packages 2010 SIGMOD 0.00021409518
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