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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
12182
Venue
VLDB
Year
2019
Pagerank
5.7075402e-05
Overall Rank
7,083 | 51.41%
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
7,330 Discovering Association Rules from Big Graphs 2022 VLDB 5.6435171e-05
10,523 Repairing Property Graphs under PG-Constraints 2026 VLDB 5.093636e-05
11,212 Capturing More Associations by Referencing External Graphs 2024 VLDB 5.093636e-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
58 The Merge/Purge Problem for Large Databases 1995 SIGMOD 0.00040116748
169 Efficient Exact Set-Similarity Joins 2006 VLDB 0.0002743469
176 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00027191081
196 CrowdER: Crowdsourcing Entity Resolution 2012 VLDB 0.00025780596
228 Reference Reconciliation in Complex Information Spaces 2005 SIGMOD 0.00023941271
248 Evaluation of entity resolution approaches on real-world match problems 2010 VLDB 0.00023278354
439 Corleone: Hands-Off Crowdsourcing for Entity Matching 2014 SIGMOD 0.00018464913
494 Dependencies Revisited for Improving Data Quality 2008 PODS 0.00017526549
618 A Hybrid Approach to Functional Dependency Discovery 2016 SIGMOD 0.00015711835
729 Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms 2015 VLDB 0.00014539421
1,248 Entity Matching: How Similar Is Similar 2011 VLDB 0.00011498301
1,465 Synthesizing Entity Matching Rules by Examples 2018 VLDB 0.00010689571
2,120 Comparative Analysis of Approximate Blocking Techniques for Entity Resolution 2016 VLDB 9.1406654e-05
2,324 Dependencies for Graphs 2017 PODS 8.7506505e-05
2,711 Progressive Approach to Relational Entity Resolution 2014 VLDB 8.2178865e-05
2,973 Functional Dependencies for Graphs 2016 SIGMOD 7.9083516e-05
3,251 Keys for Graphs 2015 VLDB 7.5963955e-05
3,474 An Efficient Partition Based Method for Exact Set Similarity Joins 2016 VLDB 7.3859271e-05
3,602 Online Entity Resolution Using an Oracle 2016 VLDB 7.2691521e-05
5,830 Exploiting Context Analysis for Combining Multiple Entity Resolution Systems 2009 SIGMOD 6.0734178e-05
6,068 Why Big Data Industrial Systems Need Rules and What We Can Do About It 2015 SIGMOD 5.9887211e-05
6,863 Explore or Exploit? Effective Strategies for Disambiguating Large Databases 2010 VLDB 5.7514261e-05
7,099 Discovering Graph Functional Dependencies 2018 SIGMOD 5.7043774e-05
9,883 On Concise Set of Relative Candidate Keys 2014 VLDB 5.2033964e-05
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