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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)

Paper ID
hbf22032037a8700c
Venue
VLDB
Year
2015
Pagerank
5.741664e-05
Overall Rank
6,518 | 56.31%
DOI
10.14778/2824032.2824096
PDF
Download (CC BY-NC-ND 3.0)

Incoming Non-self Citations Over Time

Authors

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
Previous Page 1 / 1 Next

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