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 |
|---|---|---|---|---|
| 4,966 | Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond | 2021 | SIGMOD | 6.4225454e-05 |
| 9,597 | Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach | 2018 | SIGMOD | 5.2494989e-05 |
| 11,912 | A Rating-Ranking Method for Crowdsourced Top-k Computation | 2018 | SIGMOD | 5.093636e-05 |
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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.
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