Deco: A System for Declarative Crowdsourcing

Summary: Deco enables declarative crowdsourcing by treating crowd data as a relation with relational data, queried by SQL. A push-pull hybrid executor enables data models, precise semantics, latency-cost-uncertainty tradeoffs, with MTurk and in-house platforms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10642
Venue: VLDB
Year: 2012
Pagerank: 8.6145078e-05
Overall Rank: 2,409 | 83.48%
DOI: 10.14778/2367502.2367576

Incoming Non-self Citations Over Time

Authors

1. Hyunjung Park (Stanford University)
2. Richard Pang (Stanford University)
3. Aditya Parameswaran (Stanford University)
4. Hector Garcia-Molina (Stanford University)
5. Neoklis Polyzotis (University of California Santa Cruz)
6. Jennifer Widom (Stanford University)

BibTeX Citation

@article{park_vldb12,
        title = {{Deco: A System for Declarative Crowdsourcing}},
        author = {Park, Hyunjung and Pang, Richard and Parameswaran, Aditya and Garcia-Molina, Hector and Polyzotis, Neoklis and Widom, Jennifer},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {1990--1993},
        doi = {10.14778/2367502.2367576},
        url = {https://doi.org/10.14778/2367502.2367576},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 17 of 17 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
439	Corleone: Hands-Off Crowdsourcing for Entity Matching	2014	SIGMOD	0.00018464913
933	Question Selection for Crowd Entity Resolution	2013	VLDB	0.00013111293
3,904	QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications	2015	SIGMOD	7.0304212e-05
3,945	Exploiting Correlations for Expensive Predicate Evaluation	2015	SIGMOD	7.0055154e-05
4,428	Arnold: Declarative Crowd-Machine Data Integration	2013	CIDR	6.7094035e-05
4,944	Hybrid Querying Over Relational Databases and Large Language Models	2025	CIDR	6.432467e-05
5,220	Databases Unbound: Querying All of the World’s Bytes with AI	2024	VLDB	6.3108362e-05
6,548	Query Optimization over Crowdsourced Data	2013	VLDB	5.8443704e-05
6,908	Cost-Effective Data Annotation using Game-Based Crowdsourcing	2019	VLDB	5.7415834e-05
7,018	Answering Planning Queries with the Crowd	2013	VLDB	5.7251004e-05
7,313	Interactive Graph Search	2019	SIGMOD	5.6480084e-05
7,493	Human-in-the-loop Data Integration	2017	VLDB	5.6046905e-05
8,039	Algorithmic Complexity Attacks on Dynamic Learned Indexes	2024	VLDB	5.5021992e-05
9,841	Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems	2025	VLDB	5.2101877e-05
11,912	A Rating-Ranking Method for Crowdsourced Top-k Computation	2018	SIGMOD	5.093636e-05
12,068	Collaborative Crowdsourcing with Crowd4U	2016	VLDB	5.093636e-05
12,262	Mobility and Social Networking: A Data Management Perspective	2013	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
39	Efficiently Updating Materialized Views	1986	SIGMOD	0.00047309646
90	CrowdDB: Answering Queries with Crowdsourcing	2011	SIGMOD	0.00034951786

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