Arnold: Declarative Crowd-Machine Data Integration

Summary: Proposes Labor Independence, a declarative data‑independence layer that separates logical cleaning operators from their physical implementations so the system can choose per-operator/per-record crowd vs. machine implementations. Implements Arnold, an architecture that uses this model to optimize quality–cost tradeoffs for large-scale data cleaning and integration. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 193
Venue: CIDR
Year: 2013
Pagerank: 6.7094035e-05
Overall Rank: 4,428 | 69.63%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Shawn R. Jeffery (Groupon)
2. Liwen Sun (University of California Berkeley)
3. Matt DeLand (Groupon)
4. Nick Pendar (Groupon)
5. Rick Barber (Stanford University)
6. Andrew Galdi (Stanford University)

BibTeX Citation

@inproceedings{jeffery_cidr13,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '13},
        title = {{Arnold: Declarative Crowd-Machine Data Integration}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Jeffery, Shawn R. and Sun, Liwen and DeLand, Matt and Pendar, Nick and Barber, Rick and Galdi, Andrew},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
852	Leveraging Transitive Relations for Crowdsourced Joins	2013	SIGMOD	0.00013604253
1,443	Crowdsourcing Algorithms for Entity Resolution	2014	VLDB	0.00010773106
3,983	Crowd-Based Deduplication: An Adaptive Approach	2015	SIGMOD	6.9739851e-05

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
53	Eddies: Continuously Adaptive Query Processing	2000	SIGMOD	0.00041071971
75	Sampling-Based Estimation of the Number of Distinct Values of an Attribute	1995	VLDB	0.00037277061
90	CrowdDB: Answering Queries with Crowdsourcing	2011	SIGMOD	0.00034951786
196	CrowdER: Crowdsourcing Entity Resolution	2012	VLDB	0.00025780596
201	Declarative Data Cleaning: Language, Model, and Algorithms	2001	VLDB	0.00025558602
248	Evaluation of entity resolution approaches on real-world match problems	2010	VLDB	0.00023278354
251	Crowdsourced Databases: Query Processing with People	2011	CIDR	0.00023261113
265	Human-powered Sorts and Joins	2012	VLDB	0.00022935368
743	So Who Won? Dynamic Max Discovery with the Crowd	2012	SIGMOD	0.00014421358
767	Human-Assisted Graph Search: It’s Okay to Ask Questions	2011	VLDB	0.00014208622
866	Pay-as-you-go User Feedback for Dataspace Systems	2008	SIGMOD	0.00013519288
969	Web-scale Data Integration: You can only afford to Pay As You Go	2007	CIDR	0.00012892148
997	CrowdScreen: Algorithms for Filtering Data with Humans	2012	SIGMOD	0.00012755983
2,409	Deco: A System for Declarative Crowdsourcing	2012	VLDB	8.6145078e-05

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#	Overall Rank	Paper	Year	Venue
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3	7,880	Learning Over Dirty Data Without Cleaning	2020	SIGMOD
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5	7,179	CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning	2017	VLDB
6	7,894	A Grammar-based Entity Representation Framework for Data Cleaning	2009	SIGMOD
7	3,983	Crowd-Based Deduplication: An Adaptive Approach	2015	SIGMOD
8	2,570	Query-Oriented Data Cleaning with Oracles	2015	SIGMOD
9	5,201	Argonaut: Macrotask Crowdsourcing for Complex Data Processing	2015	VLDB
10	201	Declarative Data Cleaning: Language, Model, and Algorithms	2001	VLDB