Crowdsourced Data Management: Overview and Challenges
Summary: Survey of crowdsourced data management, showing how human computation augments DB tasks, guiding quality, cost, and latency. Key topics: crowdsourced operators (select, join), aggregation; planning, schema matching; optimization, systems, challenges. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Guoliang Li (Tsinghua University)
- 2. Yudian Zheng (University of Hong Kong)
- 3. Ju Fan (Renmin University of China)
- 4. Jiannan Wang (Simon Fraser University)
- 5. Reynold Cheng (University of Hong Kong)
BibTeX Citation
@inproceedings{li_sigmod17,
title = {{Crowdsourced Data Management: Overview and Challenges}},
author = {Li, Guoliang and Zheng, Yudian and Fan, Ju and Wang, Jiannan and Cheng, Reynold},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3054776},
url = {https://dl.acm.org/doi/10.1145/3035918.3054776},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,076 | Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond | 2021 | SIGMOD | 6.2860582e-05 |
| 9,774 | Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach | 2018 | SIGMOD | 5.1317143e-05 |
| 12,212 | A Rating-Ranking Method for Crowdsourced Top-k Computation | 2018 | SIGMOD | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 43 of 43 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,177 | Data Management for Social Networking | 2016 | PODS |
| 2 | 8,951 | Managing General and Individual Knowledge in Crowd Mining Applications | 2015 | CIDR |
| 3 | 3,171 | Truth Inference in Crowdsourcing: Is the Problem Solved? | 2017 | VLDB |
| 4 | 2,832 | Crowd Mining | 2013 | SIGMOD |
| 5 | 7,052 | Cost-Effective Data Annotation using Game-Based Crowdsourcing | 2019 | VLDB |
| 6 | 1,255 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD |
| 7 | 1,264 | CDAS: A Crowdsourcing Data Analytics System | 2012 | VLDB |
| 8 | 6,099 | Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective | 2015 | VLDB |
| 9 | 12,601 | Mob Data Sourcing | 2012 | SIGMOD |
| 10 | 5,466 | Crowdsourcing Applications and Platforms: A Data Management Perspective | 2011 | VLDB |