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A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors

Summary: Demo of PERC, ER over uncertain graphs, modeling crowd answers as noisy evidence and solving ER by ML clustering. Introduces reliability metric with threshold-free crowdsourcing; yields 15% quality gain and 50% cost reduction, via an interactive GUI. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11675
Venue
VLDB
Year
2018
Pagerank
4.1945683e-05
Overall Rank
11,731 | 18.39%
DOI
10.14778/3229863.3236225

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
866 Leveraging Transitive Relations for Crowdsourced Joins 2013 SIGMOD 0.00015801196
1,242 Question Selection for Crowd Entity Resolution 2013 VLDB 0.00013096655
1,491 CDAS: A Crowdsourcing Data Analytics System 2012 VLDB 0.00011694982
1,841 Crowdsourcing Algorithms for Entity Resolution 2014 VLDB 0.00010348858
3,582 NADEEF/ER: Generic and Interactive Entity Resolution 2014 SIGMOD 6.9479263e-05
4,619 Crowd-Based Deduplication: An Adaptive Approach 2015 SIGMOD 6.0444854e-05
5,729 KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing 2015 VLDB 5.3506368e-05
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