A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration
Summary: Bayesian model for truth finding in data integration; infers true records and source quality, FP/FN modeling for multivalued attributes. Scalable, linear time, sampling-based inference with an incremental variant, outperforming prior methods on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bo Zhao
- 2. Benjamin I. P. Rubinstein
- 3. Jim Gemmell
- 4. Jiawei Han
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 49 | Consistent Query Answers in Inconsistent Databases | 1999 | PODS | 0.00067660624 |
| 855 | Integrating Conflicting Data: The Role of Source Dependence | 2009 | VLDB | 0.00015906735 |
| 1,246 | Truth Discovery and Copying Detection in a Dynamic World | 2009 | VLDB | 0.0001307161 |
| 1,289 | Using Probabilistic Information in Data Integration | 1997 | VLDB | 0.00012804879 |
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| 1,246 | Truth Discovery and Copying Detection in a Dynamic World | 2009 | VLDB | 0.0001307161 |
| 6,780 | Domain-Aware Multi-Truth Discovery from Conflicting Sources | 2018 | VLDB | 4.9277708e-05 |
| 855 | Integrating Conflicting Data: The Role of Source Dependence | 2009 | VLDB | 0.00015906735 |