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Mining Meaningful Keys and Foreign Keys with High Precision and Recall

Summary: E/R Profiler that mines a strict hierarchy of key variants (candidate keys → SQL uniqueness) with algorithms for approximate-key discovery under arity, completeness, dirtiness and orthogonality thresholds. Novel orthogonality metric separates accidental from meaningful keys, enabling high-precision/-recall key and FK discovery to reveal entity and referential constraints. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14157
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,817 | 24.75%
DOI
10.14778/3750601.3750672

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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
1,625 Data Profiling with Metanome 2015 VLDB 0.00011094926
4,435 Sampling Dirty Data for Matching Attributes 2010 SIGMOD 6.1918164e-05
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