Crowdsourcing for Data Management: a Survey

Valter Crescenzi; Alvaro A.A. Fernandes; Paolo Merialdo; Norman W. Paton

doi:10.1007/s10115-017-1057-x

Crowdsourcing for Data Management: a Survey

Valter Crescenzi, Alvaro A.A. Fernandes, Paolo Merialdo, Norman W. Paton

Università degli Studi Roma Tre

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Abstract

Crowdsourcing provides access to a pool of human workers who can contribute solutions to tasks that are challenging for computers. Proposals have been made for the use of crowdsourcing in a wide range of data management tasks, including data gathering, query processing, data integration, and cleaning. We provide a classification of key features of these proposals and survey results to date, identifying recurring themes and open issues.

Original language	English
Pages (from-to)	1-41
Number of pages	41
Journal	Knowledge and Information Systems
Early online date	5 May 2017
DOIs	https://doi.org/10.1007/s10115-017-1057-x
Publication status	Published - 5 May 2017

Keywords

Crowdsourcing
Data cleaning
Data extraction
Data integration
Data management
Entity resolution

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10.1007/s10115-017-1057-x

crowdsourcingAccepted author manuscript, 1.03 MB

Cite this

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Crowdsourcing for Data Management: a Survey

Abstract

Keywords

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