QOCO: A Query Oriented Data Cleaning System with Oracles
Summary: QOCO uses user-defined query-driven materialized views as triggers to surface still-missing or erroneous data. It crowdsources domain expertise (oracles) to diagnose/root-cause fixes, with pruning to minimize questions, demonstrated on a World Cup games database. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Moria Bergman (Tel Aviv University)
- 2. Tova Milo (Tel Aviv University)
- 3. Slava Novgorodov (Tel Aviv University)
- 4. Wang-Chiew Tan (University of California Santa Cruz)
BibTeX Citation
@article{bergman_vldb15,
title = {{QOCO: A Query Oriented Data Cleaning System with Oracles}},
author = {Bergman, Moria and Milo, Tova and Novgorodov, Slava and Tan, Wang-Chiew},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1900--1903},
doi = {10.14778/2824032.2824096},
url = {https://doi.org/10.14778/2824032.2824096},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,399 | Computing Optimal Repairs for Functional Dependencies | 2018 | PODS | 0.00010893312 |
| 8,103 | The Computation of Optimal Subset Repairs | 2020 | VLDB | 5.4867244e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 196 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB | 0.00025780596 |
| 385 | Why Not? | 2009 | SIGMOD | 0.00019455743 |
| 1,060 | Curated Databases | 2008 | PODS | 0.00012371807 |
| 1,736 | A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data | 2014 | SIGMOD | 9.8984415e-05 |
| 1,910 | Counting with the Crowd | 2013 | VLDB | 9.4972788e-05 |
| 2,570 | Query-Oriented Data Cleaning with Oracles | 2015 | SIGMOD | 8.4061164e-05 |
| 4,568 | CrowdMatcher: Crowd-Assisted Schema Matching | 2014 | SIGMOD | 6.625684e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,179 | CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning | 2017 | VLDB |
| 2 | 6,548 | Query Optimization over Crowdsourced Data | 2013 | VLDB |
| 3 | 9,846 | QO-Insight: Inspecting Steered Query Optimizers | 2023 | VLDB |
| 4 | 9,193 | Query-Guided Resolution in Uncertain Databases | 2023 | SIGMOD |
| 5 | 9,442 | Interactive and Deterministic Data Cleaning: A Tossed Stone Raises a Thousand Ripples | 2016 | SIGMOD |
| 6 | 10,834 | QOVIS: Understanding and Diagnosing Query Optimizer via a Visualization-assisted Approach | 2025 | VLDB |
| 7 | 6,499 | A Demonstration of DBWipes: Clean as You Query | 2012 | VLDB |
| 8 | 12,038 | QFix: Demonstrating Error Diagnosis in Query Histories | 2016 | SIGMOD |
| 9 | 7,749 | CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning | 2021 | SIGMOD |
| 10 | 2,570 | Query-Oriented Data Cleaning with Oracles | 2015 | SIGMOD |