Crowdsourcing for Data Management: a Survey

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

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    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 languageEnglish
    Pages (from-to)1-41
    Number of pages41
    JournalKnowledge and Information Systems
    Early online date5 May 2017
    Publication statusPublished - 5 May 2017


    • Crowdsourcing
    • Data cleaning
    • Data extraction
    • Data integration
    • Data management
    • Entity resolution


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