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CrowdFill: Collecting Structured Data from the Crowd

Summary: CrowdFill presents a partially-filled table to workers; they fill cells and upvote/downvote others. A latency-aware synchronization model minimizes latency; it supports constraints, inconsistency handling, and contribution-based compensation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4936
Venue
SIGMOD
Year
2014
Pagerank
8.31868e-05
Overall Rank
2,636 | 81.92%
DOI
10.1145/2588555.2610503

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{park_sigmod14,
        title = {{CrowdFill: Collecting Structured Data from the Crowd}},
        author = {Park, Hyunjung and Widom, Jennifer},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2610503},
        url = {https://dl.acm.org/doi/10.1145/2588555.2610503},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
90 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00034951786
250 Answering Queries using Humans, Algorithms and Databases 2011 CIDR 0.00023261164
2,715 Concurrency Control in Groupware Systems 1989 SIGMOD 8.2110866e-05
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