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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
6.3776356e-05
Overall Rank
4,185 | 70.89%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
866 Leveraging Transitive Relations for Crowdsourced Joins 2013 SIGMOD 0.00015801196
1,841 Crowdsourcing Algorithms for Entity Resolution 2014 VLDB 0.00010348858
4,619 Crowd-Based Deduplication: An Adaptive Approach 2015 SIGMOD 6.0444854e-05
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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.

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