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RDFind: Scalable Conditional Inclusion Dependency Discovery in RDF Datasets

Summary: Introduces pertinent conditional inclusion dependencies (cinds) and RDFind, a scalable distributed system for discovering them in RDF data. Lazy pruning and aggressive parallelization drastically shrink the search space, delivering up to 419x speedup and enabling billions-of-triples RDF graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5233
Venue
SIGMOD
Year
2016
Pagerank
4.383548e-05
Overall Rank
9,176 | 36.17%
DOI
10.1145/2882903.2915206

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
3,976 UGuide – User-Guided Discovery of FD-Detectable Errors 2017 SIGMOD 6.5736462e-05
8,289 Knowledge Graph Exploration Systems: are we lost? 2022 CIDR 4.5435639e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
36 Fast Algorithms for Mining Association Rules 1994 VLDB 0.00076161096
224 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00032746205
560 Dependencies Revisited for Improving Data Quality 2008 PODS 0.00020141923
872 An Efficient SQL-based RDF Querying Scheme 2005 VLDB 0.00015759968
1,401 Extending Dependencies with Conditions 2007 VLDB 0.00012187775
1,664 On Multi-Column Foreign Key Discovery 2010 VLDB 0.00010976887
1,959 Building an Efficient RDF Store Over a Relational Database 2013 SIGMOD 9.9563798e-05
4,784 Divide & Conquer-based Inclusion Dependency Discovery 2015 VLDB 5.9240851e-05
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