CrowdMatcher: Crowd-Assisted Schema Matching
Summary: Hybrid machine-crowd schema matching integrates multiple matchers to address uncertainty in schema semantics. CCQs crowd-verify correspondences, select informative queries to minimize cost, tolerate noise, and update results with crowd feedback. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chen Jason Zhang (Hong Kong University of Science and Technology)
- 2. Ziyuan Zhao (Hong Kong University of Science and Technology)
- 3. Lei Chen (Hong Kong University of Science and Technology)
- 4. H. V. Jagadish (University of Michigan)
- 5. Caleb Chen Cao (Hong Kong University of Science and Technology)
BibTeX Citation
@inproceedings{zhang_sigmod14,
title = {{CrowdMatcher: Crowd-Assisted Schema Matching}},
author = {Zhang, Chen Jason and Zhao, Ziyuan and Chen, Lei and Jagadish, H. V. and Cao, Caleb Chen},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2594515},
url = {https://dl.acm.org/doi/10.1145/2588555.2594515},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,504 | Query-Oriented Data Cleaning with Oracles | 2015 | SIGMOD | 8.3782213e-05 |
| 6,537 | QOCO: A Query Oriented Data Cleaning System with Oracles | 2015 | VLDB | 5.7535125e-05 |
| 7,950 | A Natural Language Interface for Querying General and Individual Knowledge | 2015 | VLDB | 5.4207861e-05 |
| 12,404 | NL2CM: A Natural Language Interface to Crowd Mining | 2015 | SIGMOD | 4.9793485e-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 |
|---|---|---|---|---|
| 182 | Schema Mapping as Query Discovery | 2000 | VLDB | 0.00026277842 |
| 715 | Data Integration with Uncertainty | 2007 | VLDB | 0.00014559092 |
| 1,667 | Bootstrapping Pay-As-You-Go Data Integration Systems | 2008 | SIGMOD | 9.9378851e-05 |
| 4,602 | Reducing Uncertainty of Schema Matching via Crowdsourcing | 2013 | VLDB | 6.5072085e-05 |
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|---|---|---|---|---|
| 1 | 7,052 | Cost-Effective Data Annotation using Game-Based Crowdsourcing | 2019 | VLDB |
| 2 | 9,171 | Analyzing and Revising Data Integration Schemas to Improve Their Matchability | 2008 | VLDB |
| 3 | 8,664 | CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling | 2019 | SIGMOD |
| 4 | 12,203 | (Artificial) Mind over Matter: Integrating Humans and Algorithms in Solving Matching Problems | 2018 | SIGMOD |
| 5 | 5,614 | CrowdQ: Crowdsourced Query Understanding | 2013 | CIDR |
| 6 | 12,244 | CloudMatcher: A Hands-Off Cloud/Crowd Service for Entity Matching | 2018 | VLDB |
| 7 | 6,397 | Human-in-the-loop Data Integration | 2017 | VLDB |
| 8 | 12,081 | InCognitoMatch: Cognitive-aware Matching via Crowdsourcing | 2020 | SIGMOD |
| 9 | 198 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB |
| 10 | 4,602 | Reducing Uncertainty of Schema Matching via Crowdsourcing | 2013 | VLDB |