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CrowdDB: Answering Queries with Crowdsourcing

Summary: CrowdDB extends SQL-based query processing by outsourcing missing or fuzzy results to crowdsourcing. It treats crowd input as a first-class data source under a non-closed-world model and introduces crowd-aware operators, with early MTurk experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4433
Venue
SIGMOD
Year
2011
Pagerank
0.00034951786
Overall Rank
90 | 99.39%
DOI
10.1145/1989323.1989331

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{franklin_sigmod11,
        title = {{CrowdDB: Answering Queries with Crowdsourcing}},
        author = {Franklin, Michael J. and Kossmann, Donald and Kraska, Tim and Ramesh, Sukriti and Xin, Reynold},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989331},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989331},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 26 of 76 citing papers.

Rank Citing Paper Year Venue Pagerank
7,493 Human-in-the-loop Data Integration 2017 VLDB 5.6046905e-05
7,630 Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion 2012 VLDB 5.5783186e-05
7,788 A Natural Language Interface for Querying General and Individual Knowledge 2015 VLDB 5.5446256e-05
8,039 Algorithmic Complexity Attacks on Dynamic Learned Indexes 2024 VLDB 5.5021992e-05
8,788 Managing General and Individual Knowledge in Crowd Mining Applications 2015 CIDR 5.3726124e-05
8,789 CrowdMiner: Mining association rules from the crowd 2013 VLDB 5.3726124e-05
8,807 Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace 2017 VLDB 5.3671183e-05
8,868 SemBench: A Benchmark for Semantic Query Processing Engines 2026 VLDB 5.3546848e-05
9,193 Query-Guided Resolution in Uncertain Databases 2023 SIGMOD 5.3058708e-05
9,206 A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets 2017 VLDB 5.3058708e-05
9,401 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 5.2755515e-05
9,526 Anthropocentric Data Systems 2011 VLDB 5.2554757e-05
9,631 Lingua Manga: A Generic Large Language Model Centric System for Data Curation 2023 VLDB 5.2434488e-05
9,841 Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems 2025 VLDB 5.2101877e-05
10,305 Weighted Set Multi-Cover on Bounded Universe and Applications in Package Recommendation 2026 SIGMOD 5.093636e-05
10,681 User-Centric Property Graph Repairs 2025 SIGMOD 5.093636e-05
10,733 ScaleLLM: A Technique for Scalable LLM-augmented Data Systems 2025 SIGMOD 5.093636e-05
11,912 A Rating-Ranking Method for Crowdsourced Top-k Computation 2018 SIGMOD 5.093636e-05
11,975 Staging User Feedback toward Rapid Conflict Resolution in Data Fusion 2017 SIGMOD 5.093636e-05
12,013 A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing 2017 VLDB 5.093636e-05
12,019 DOCS: Domain-Aware Crowdsourcing System 2017 VLDB 5.093636e-05
12,092 Looking at Everything in Context 2015 CIDR 5.093636e-05
12,101 The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing 2015 SIGMOD 5.093636e-05
12,207 TransactiveDB: Tapping into Collective Human Memories 2014 VLDB 5.093636e-05
12,310 Mob Data Sourcing 2012 SIGMOD 5.093636e-05
12,342 DrillBeyond: Enabling Business Analysts to Explore the Web of Open Data 2012 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

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