A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors
Summary: PERC performs crowdsourced entity resolution under noisy, potentially malicious answers via an uncertain-graph model and maximum-likelihood clustering. Its reliability-driven question selection is threshold-free and error-rate agnostic, improving quality while reducing crowd cost. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Xiangyu Ke (Nanyang Technological University)
- 2. Michelle Teo (Nanyang Technological University)
- 3. Arijit Khan (Nanyang Technological University)
- 4. Vijaya Krishna Yalavarthi (Nanyang Technological University)
BibTeX Citation
@article{ke_vldb18,
title = {{A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors}},
author = {Ke, Xiangyu and Teo, Michelle and Khan, Arijit and Yalavarthi, Vijaya Krishna},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {1922--1925},
doi = {10.14778/3229863.3236225},
url = {https://doi.org/10.14778/3229863.3236225},
year = {2018}
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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 |
|---|---|---|---|---|
| 852 | Leveraging Transitive Relations for Crowdsourced Joins | 2013 | SIGMOD | 0.00013604253 |
| 933 | Question Selection for Crowd Entity Resolution | 2013 | VLDB | 0.00013111293 |
| 1,270 | CDAS: A Crowdsourcing Data Analytics System | 2012 | VLDB | 0.00011388453 |
| 1,443 | Crowdsourcing Algorithms for Entity Resolution | 2014 | VLDB | 0.00010773106 |
| 3,611 | NADEEF/ER: Generic and Interactive Entity Resolution | 2014 | SIGMOD | 7.2580469e-05 |
| 3,983 | Crowd-Based Deduplication: An Adaptive Approach | 2015 | SIGMOD | 6.9739851e-05 |
| 5,397 | KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing | 2015 | VLDB | 6.232136e-05 |
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