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 |
|---|---|---|---|---|
| 1,314 | Computing Optimal Repairs for Functional Dependencies | 2018 | PODS | 0.000110547 |
| 8,301 | The Computation of Optimal Subset Repairs | 2020 | VLDB | 5.3433509e-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 |
|---|---|---|---|---|
| 199 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB | 0.0002551523 |
| 389 | Why Not? | 2009 | SIGMOD | 0.00019254758 |
| 1,079 | Curated Databases | 2008 | PODS | 0.00012117197 |
| 1,721 | A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data | 2014 | SIGMOD | 9.7821782e-05 |
| 1,932 | Counting with the Crowd | 2013 | VLDB | 9.3441665e-05 |
| 2,492 | Query-Oriented Data Cleaning with Oracles | 2015 | SIGMOD | 8.3722864e-05 |
| 4,673 | CrowdMatcher: Crowd-Assisted Schema Matching | 2014 | SIGMOD | 6.4585127e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,320 | CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning | 2017 | VLDB |
| 2 | 6,684 | Query Optimization over Crowdsourced Data | 2013 | VLDB |
| 3 | 10,074 | QO-Insight: Inspecting Steered Query Optimizers | 2023 | VLDB |
| 4 | 9,408 | Query-Guided Resolution in Uncertain Databases | 2023 | SIGMOD |
| 5 | 9,654 | Interactive and Deterministic Data Cleaning: A Tossed Stone Raises a Thousand Ripples | 2016 | SIGMOD |
| 6 | 11,306 | QOVIS: Understanding and Diagnosing Query Optimizer via a Visualization-assisted Approach | 2025 | VLDB |
| 7 | 6,636 | A Demonstration of DBWipes: Clean as You Query | 2012 | VLDB |
| 8 | 12,382 | QFix: Demonstrating Error Diagnosis in Query Histories | 2016 | SIGMOD |
| 9 | 7,041 | CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning | 2021 | SIGMOD |
| 10 | 2,492 | Query-Oriented Data Cleaning with Oracles | 2015 | SIGMOD |