Deco: A system for declarative crowdsourcing

Hyunjung Park, Richard Pang, Aditya Parameswaran, Hector Garcia-Molina, Neoklis Polyzotis, Jennifer Widom

Research output: Contribution to journalArticle

Abstract

Deco is a system that enables declarative crowdsourcing: answering SQL queries posed over data gathered from the crowd as well as existing relational data. Deco implements a novel push-pull hybrid execution model in order to support a flexible data model and a precise query semantics, while coping with the combination of latency, monetary cost, and uncertainty of crowdsourcing. We demonstrate Deco using two crowdsourcing platforms: Amazon Mechanical Turk and an in-house platform, to show how Deco provides a convenient means of collecting and querying crowdsourced data.

Original languageEnglish (US)
Pages (from-to)1990-1993
Number of pages4
JournalProceedings of the VLDB Endowment
Volume5
Issue number12
DOIs
StatePublished - Aug 2012

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Science(all)

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    Park, H., Pang, R., Parameswaran, A., Garcia-Molina, H., Polyzotis, N., & Widom, J. (2012). Deco: A system for declarative crowdsourcing. Proceedings of the VLDB Endowment, 5(12), 1990-1993. https://doi.org/10.14778/2367502.2367555