Generating Concise Entity Matching Rules
Summary: Generates concise EM rules as GBFs via program synthesis from pos/neg examples, beating DNFs in conciseness. Demo: web-based customization, fast GBF synthesis, and open-source release for benchmarking against ML baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rohit Singh (Massachusetts Institute of Technology)
- 2. Vamsi Meduri (Arizona State University)
- 3. Ahmed Elmagarmid (Qatar Computing Research Institute)
- 4. Samuel Madden (Massachusetts Institute of Technology)
- 5. Paolo Papotti (Arizona State University)
- 6. Jorge-Arnulfo Quiané-Ruiz (Qatar Computing Research Institute)
- 7. Armando Solar-Lezama (Massachusetts Institute of Technology)
- 8. Nan Tang (Qatar Computing Research Institute)
BibTeX Citation
@inproceedings{singh_sigmod17,
title = {{Generating Concise Entity Matching Rules}},
author = {Singh, Rohit and Meduri, Vamsi and Elmagarmid, Ahmed and Madden, Samuel and Papotti, Paolo and Quiané-Ruiz, Jorge-Arnulfo and Solar-Lezama, Armando and Tang, Nan},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3058739},
url = {https://dl.acm.org/doi/10.1145/3035918.3058739},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 176 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00027191081 |
| 1,465 | Synthesizing Entity Matching Rules by Examples | 2018 | VLDB | 0.00010689571 |
| 3,304 | Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale | 2022 | SIGMOD | 7.5404346e-05 |
| 3,580 | Automatic Data Repair: Are We Ready to Deploy? | 2024 | VLDB | 7.2888516e-05 |
| 4,590 | Entity Resolution with Hierarchical Graph Attention Networks | 2022 | SIGMOD | 6.6150054e-05 |
| 5,730 | Domain Adaptation for Deep Entity Resolution | 2022 | SIGMOD | 6.1071585e-05 |
| 6,928 | How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses | 2024 | VLDB | 5.7370426e-05 |
| 8,802 | Outlier Summarization via Human Interpretable Rules | 2024 | VLDB | 5.3685765e-05 |
| 10,049 | Towards Interpretable and Learnable Risk Analysis for Entity Resolution | 2020 | SIGMOD | 5.1685424e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,248 | Entity Matching: How Similar Is Similar | 2011 | VLDB | 0.00011498301 |
| 1,497 | Generic Schema Matching, Ten Years Later | 2011 | VLDB | 0.00010568859 |
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