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Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs)

Summary: Proposes Graph Differential Dependencies (GDDs) for approximate ER matching, enabling efficient discovery. Certus leverages a non-redundant GDD set to boost ER precision with minimal recall loss; validated on five real datasets and a proprietary DB. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h6b98ec6dbb7ba81c
Venue
VLDB
Year
2019
Pagerank
5.5810344e-05
Overall Rank
7,226 | 51.42%
DOI
10.14778/3311880.3311883

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kwashie_vldb19,
        title = {{Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs)}},
        author = {Kwashie, Selasi and Liu, Lin and Liu, Jixue and Stumptner, Markus and Li, Jiuyong and Yang, Lujing},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {6},
        pages = {653--666},
        doi = {10.14778/3311880.3311883},
        url = {https://doi.org/10.14778/3311880.3311883},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
7,342 Discovering Association Rules from Big Graphs 2022 VLDB 5.5480127e-05
10,707 Repairing Property Graphs under PG-Constraints 2026 VLDB 4.9793485e-05
11,550 Capturing More Associations by Referencing External Graphs 2024 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 cited papers.

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

Rank Cited Paper Year Venue Pagerank
60 The Merge/Purge Problem for Large Databases 1995 SIGMOD 0.000394583
158 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028046388
168 Efficient Exact Set-Similarity Joins 2006 VLDB 0.00027163517
198 CrowdER: Crowdsourcing Entity Resolution 2012 VLDB 0.00025555196
230 Reference Reconciliation in Complex Information Spaces 2005 SIGMOD 0.00023871933
244 Evaluation of entity resolution approaches on real-world match problems 2010 VLDB 0.00023314591
433 Corleone: Hands-Off Crowdsourcing for Entity Matching 2014 SIGMOD 0.00018332741
500 Dependencies Revisited for Improving Data Quality 2008 PODS 0.00017280722
603 A Hybrid Approach to Functional Dependency Discovery 2016 SIGMOD 0.00015699254
727 Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms 2015 VLDB 0.00014443394
1,247 Entity Matching: How Similar Is Similar 2011 VLDB 0.00011346515
1,493 Synthesizing Entity Matching Rules by Examples 2018 VLDB 0.00010505174
2,110 Comparative Analysis of Approximate Blocking Techniques for Entity Resolution 2016 VLDB 9.0233278e-05
2,364 Dependencies for Graphs 2017 PODS 8.5665938e-05
2,645 Progressive Approach to Relational Entity Resolution 2014 VLDB 8.177221e-05
3,026 Functional Dependencies for Graphs 2016 SIGMOD 7.7387829e-05
3,317 Keys for Graphs 2015 VLDB 7.436464e-05
3,350 An Efficient Partition Based Method for Exact Set Similarity Joins 2016 VLDB 7.3910669e-05
3,665 Online Entity Resolution Using an Oracle 2016 VLDB 7.1184791e-05
5,946 Exploiting Context Analysis for Combining Multiple Entity Resolution Systems 2009 SIGMOD 5.9379643e-05
6,187 Why Big Data Industrial Systems Need Rules and What We Can Do About It 2015 SIGMOD 5.85747e-05
6,974 Explore or Exploit? Effective Strategies for Disambiguating Large Databases 2010 VLDB 5.630394e-05
7,243 Discovering Graph Functional Dependencies 2018 SIGMOD 5.5768239e-05
10,069 On Concise Set of Relative Candidate Keys 2014 VLDB 5.086676e-05
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