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)
Incoming Non-self Citations Over Time
Authors
- 1. Selasi Kwashie (University of South Australia)
- 2. Lin Liu (University of South Australia)
- 3. Jixue Liu (University of South Australia)
- 4. Markus Stumptner (University of South Australia)
- 5. Jiuyong Li (University of South Australia)
- 6. Lujing Yang (University of South Australia)
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 |
|---|---|---|---|---|
| 7,318 | Discovering Association Rules from Big Graphs | 2022 | VLDB | 5.5411422e-05 |
| 10,778 | Repairing Property Graphs under PG-Constraints | 2026 | VLDB | 4.9605343e-05 |
| 11,605 | Capturing More Associations by Referencing External Graphs | 2024 | VLDB | 4.9605343e-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.
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