Query-Guided Resolution in Uncertain Databases
Summary: Query-guided resolution for uncertain databases using an oracle to certify tuple correctness. Provenance-based tracking and active-learning selectivity minimize oracle calls while preserving correct outputs for mission-critical queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Osnat Drien
- 2. Matanya Freiman
- 3. Antoine Amarilli
- 4. Yael Amsterdamer
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,376 | A Rank-Based Approach to Recommender System’s Top-K Queries with Uncertain Scores | 2025 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 28 of 28 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,182 | Querying Data Provenance | 2010 | SIGMOD | 9.3596252e-05 |
| 9,311 | On Efficient Approximate Queries over Machine Learning Models | 2023 | VLDB | 4.3535588e-05 |
| 5,545 | Cleaning Uncertain Data with Quality Guarantees | 2008 | VLDB | 5.447418e-05 |
| 8,769 | New Directions For Uncertainty Reasoning In Deductive Databases | 1991 | SIGMOD | 4.4520434e-05 |
| 718 | Data Integration with Uncertainty | 2007 | VLDB | 0.00017558942 |
| 4,809 | Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers | 2019 | SIGMOD | 5.9035874e-05 |
| 1,698 | Sensitivity Analysis and Explanations for Robust Query Evaluation in Probabilistic Databases | 2011 | SIGMOD | 0.00010857033 |
| 7,944 | Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds | 2021 | SIGMOD | 4.6089395e-05 |
| 653 | On the Provenance of Non-Answers to Queries over Extracted Data | 2008 | VLDB | 0.00018616975 |
| 11,402 | ActivePDB: Active Probabilistic Databases | 2022 | VLDB | 4.1905499e-05 |