Entity Resolution with Iterative Blocking
Summary: Iterative blocking framework for Entity Resolution where ER results from one block inform others, iterating to convergence. Cross-block propagation boosts accuracy and efficiency by reusing prior processing; scalable system on large datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Steven Euijong Whang (Stanford University)
- 2. David Menestrina (Stanford University)
- 3. Georgia Koutrika (Stanford University)
- 4. Martin Theobald (Stanford University)
- 5. Hector Garcia-Molina (Stanford University)
BibTeX Citation
@inproceedings{whang_sigmod09,
title = {{Entity Resolution with Iterative Blocking}},
author = {Whang, Steven Euijong and Menestrina, David and Koutrika, Georgia and Theobald, Martin and Garcia-Molina, Hector},
series = {{SIGMOD} '09},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1559845.1559870},
url = {https://dl.acm.org/doi/10.1145/1559845.1559870},
year = {2009}
}
Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 citing papers.
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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 |
|---|---|---|---|---|
| 60 | The Merge/Purge Problem for Large Databases | 1995 | SIGMOD | 0.000394583 |
| 230 | Reference Reconciliation in Complex Information Spaces | 2005 | SIGMOD | 0.00023871933 |
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