Deco: A System for Declarative Crowdsourcing

92 citations recorded by the source corpus.

How researchers see this paper

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A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective (2018, background): “DECO [48] uses a simple extension of SQL and defines precise semantics for arbitrary queries on stored data and data collected by the crowd.”
Online mobile Micro-Task Allocation in spatial crowdsourcing (2016, methodology): “In recent years, a wide spectrum of fundamental datadriven operations for general crowdsourcing platforms are well studied, such as filtering[13], entity resolution[14], data cleaning[15], topic discovery[16], and a couple of crowdpowered database systems have been successfully developed, such as Cr”
Debiasing social wisdom (2013, background): “The wisdom of the crowd is increasingly ﬁnding use in a plethora of contexts ranging from the traditional online surveys to query predicates involving human computation in database applications [20, 19].”
Corleone: hands-off crowdsourcing for entity matching (2014, background): “In the database community, the work [9, 23, 20] build crowdsourced RDBMSs.”
Crowdsourced Data Management: Industry and Academic Perspectives (2015, background): “The three primary systems are: CrowdDB [79, 80], Qurk [131, 133, 132, 130], and Deco [145, 144, 149, 150].”