Explore or Exploit? Effective Strategies for Disambiguating Large Databases
Summary: Disambiguation in large databases under limited cleaning budget, with uncertain candidate quality and success. The Explore-Exploit (EE) algorithm learns from ongoing cleaning to allocate budget, beating greedy baselines; robust to unknown cleaning probabilities, validated on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Reynold Cheng (University of Hong Kong)
- 2. Eric Lo (Hong Kong Polytechnic University)
- 3. Xuan S. Yang (University of Hong Kong)
- 4. Ming-Hay Luk (Hong Kong Polytechnic University)
- 5. Xiang Li (University of Hong Kong)
- 6. Xike Xie (University of Hong Kong)
BibTeX Citation
@article{cheng_vldb10,
title = {{Explore or Exploit? Effective Strategies for Disambiguating Large Databases}},
author = {Cheng, Reynold and Lo, Eric and Yang, Xuan S. and Luk, Ming-Hay and Li, Xiang and Xie, Xike},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {815},
doi = {10.14778/1920841.1920945},
url = {https://doi.org/10.14778/1920841.1920945},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,711 | Progressive Approach to Relational Entity Resolution | 2014 | VLDB | 8.2178865e-05 |
| 7,083 | Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs) | 2019 | VLDB | 5.7075402e-05 |
| 9,193 | Query-Guided Resolution in Uncertain Databases | 2023 | SIGMOD | 5.3058708e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 50 | Efficient Query Evaluation on Probabilistic Databases | 2004 | VLDB | 0.00043596705 |
| 78 | ULDBs: Databases with Uncertainty and Lineage | 2006 | VLDB | 0.00036571789 |
| 337 | Model-Driven Data Acquisition in Sensor Networks | 2004 | VLDB | 0.00020783399 |
| 359 | Evaluating Probabilistic Queries over Imprecise Data | 2003 | SIGMOD | 0.0002023153 |
| 390 | COMA - A system for flexible combination of schema matching approaches | 2002 | VLDB | 0.00019382486 |
| 722 | Adaptive Filters for Continuous Queries over Distributed Data Streams | 2003 | SIGMOD | 0.00014627248 |
| 1,097 | Probabilistic Skylines on Uncertain Data | 2007 | VLDB | 0.00012181027 |
| 3,371 | Modeling and Querying Possible Repairs in Duplicate Detection | 2009 | VLDB | 7.4697134e-05 |
| 5,318 | Cleaning Uncertain Data with Quality Guarantees | 2008 | VLDB | 6.2672687e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,371 | Modeling and Querying Possible Repairs in Duplicate Detection | 2009 | VLDB |
| 2 | 359 | Evaluating Probabilistic Queries over Imprecise Data | 2003 | SIGMOD |
| 3 | 4,420 | Optimization for Active Learning-based Interactive Database Exploration | 2019 | VLDB |
| 4 | 4,499 | Cleaning Inconsistencies in Information Extraction via Prioritized Repairs | 2014 | PODS |
| 5 | 1,605 | Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases | 2008 | VLDB |
| 6 | 13,029 | Incomplete Path Expressions and their Disambiguation | 1994 | SIGMOD |
| 7 | 2,570 | Query-Oriented Data Cleaning with Oracles | 2015 | SIGMOD |
| 8 | 8,038 | Counting and Enumerating (Preferred) Database Repairs | 2017 | PODS |
| 9 | 9,193 | Query-Guided Resolution in Uncertain Databases | 2023 | SIGMOD |
| 10 | 5,318 | Cleaning Uncertain Data with Quality Guarantees | 2008 | VLDB |