CloudMatcher: A Hands-Off Cloud/Crowd Service for Entity Matching
Summary: Hands-off cloud/crowd service for entity matching; lay users upload two tables and label pairs as match/no-match, or crowdsource labels. Showcases end-to-end EM with scalable concurrency for large datasets, enabling non-developer data integration workflows. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Yash Govind (University of Wisconsin)
- 2. Erik Paulson (Johnson Controls; University of Wisconsin)
- 3. Palaniappan Nagarajan (University of Wisconsin)
- 4. Paul Suganthan G.C. (University of Wisconsin)
- 5. AnHai Doan (University of Wisconsin)
- 6. Youngchoon Park (Johnson Controls)
- 7. Glenn M. Fung (American Family Insurance)
- 8. Devin Conathan (American Family Insurance)
- 9. Marshall Carter (American Family Insurance)
- 10. Mingju Sun (American Family Insurance)
BibTeX Citation
@article{govind_vldb18,
title = {{CloudMatcher: A Hands-Off Cloud/Crowd Service for Entity Matching}},
author = {Govind, Yash and Paulson, Erik and Nagarajan, Palaniappan and G.C., Paul Suganthan and Doan, AnHai and Park, Youngchoon and Fung, Glenn M. and Conathan, Devin and Carter, Marshall and Sun, Mingju},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {2042--2045},
doi = {10.14778/3229863.3236255},
url = {https://doi.org/10.14778/3229863.3236255},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,475 | Deep Learning for Blocking in Entity Matching: A Design Space Exploration | 2021 | VLDB | 8.5277654e-05 |
| 4,023 | Smurf: Self-Service String Matching Using Random Forests | 2019 | VLDB | 6.949387e-05 |
| 6,167 | Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching | 2023 | VLDB | 5.9524736e-05 |
| 7,373 | Entity Matching Meets Data Science: A Progress Report from the Magellan Project | 2019 | SIGMOD | 5.6311132e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 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 |
| 439 | Corleone: Hands-Off Crowdsourcing for Entity Matching | 2014 | SIGMOD | 0.00018464913 |
| 529 | Magellan: Toward Building Entity Matching Management Systems | 2016 | VLDB | 0.00017096361 |
| 1,643 | Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services | 2017 | SIGMOD | 0.00010134956 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,726 | Valentine in Action: Matching Tabular Data at Scale | 2021 | VLDB |
| 2 | 3,883 | Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks | 2016 | VLDB |
| 3 | 11,779 | InCognitoMatch: Cognitive-aware Matching via Crowdsourcing | 2020 | SIGMOD |
| 4 | 8,495 | CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling | 2019 | SIGMOD |
| 5 | 7,493 | Human-in-the-loop Data Integration | 2017 | VLDB |
| 6 | 439 | Corleone: Hands-Off Crowdsourcing for Entity Matching | 2014 | SIGMOD |
| 7 | 196 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB |
| 8 | 1,643 | Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services | 2017 | SIGMOD |
| 9 | 4,568 | CrowdMatcher: Crowd-Assisted Schema Matching | 2014 | SIGMOD |
| 10 | 7,373 | Entity Matching Meets Data Science: A Progress Report from the Magellan Project | 2019 | SIGMOD |