Crowdsourcing for data management

  • Valter Crescenzi
  • Alvaro A. A. Fernandes
  • Paolo Merialdo
  • Norman W. Paton
Survey Paper

DOI: 10.1007/s10115-017-1057-x

Cite this article as:
Crescenzi, V., Fernandes, A.A.A., Merialdo, P. et al. Knowl Inf Syst (2017). doi:10.1007/s10115-017-1057-x

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.

Keywords

Data management Crowdsourcing Data integration Data cleaning Data extraction Entity resolution 

Copyright information

© Springer-Verlag London 2017

Authors and Affiliations

  1. 1.Dipartimento di IngegneriaUniversità degli Studi Roma TreRomeItaly
  2. 2.School of Computer ScienceUniversity of ManchesterManchesterUK

Personalised recommendations