Online Ordering of Overlapping Data Sources
Summary: Introduces OASIS, an online query answering system for overlapping sources with adaptive source ordering. It uses maximum-entropy overlap estimation, online ordering by expected contribution, and runtime statistics enrichment to scale to thousands of sources. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,289 | Using Probabilistic Information in Data Integration | 1997 | VLDB | 0.00012804879 |
| 1,851 | An Analysis of Structured Data on the Web | 2012 | VLDB | 0.00010327871 |
| 2,686 | Online Data Fusion | 2011 | VLDB | 8.3053595e-05 |
| 5,600 | BibFinder/StatMiner: Effectively Mining and Using Coverage and Overlap Statistics in Data Integration | 2003 | VLDB | 5.4160529e-05 |
| 5,977 | Understanding Cardinality Estimation using Entropy Maximization | 2010 | PODS | 5.2455909e-05 |
| 12,355 | Information Theory For Data Management | 2009 | VLDB | 4.1945683e-05 |
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