International Conference on Collaborative Computing: Networking, Applications and Worksharing

Collaborative Computing: Networking, Applications, and Worksharing pp 72-81 | Cite as

Crowdstore: A Crowdsourcing Graph Database

  • Vitaliy Liptchinsky
  • Benjamin Satzger
  • Stefan Schulte
  • Schahram Dustdar
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 163)


Existing crowdsourcing database systems fail to support complex, collaborative or responsive crowd work. These systems implement human computation as independent tasks published online, and subsequently chosen by individual workers. Such pull model does not support worker collaboration and its expertise matching relies on workers’ subjective self-assessment. An extension to graph query languages combined with an enhanced database system components can express and facilitate social collaboration, sophisticated expert discovery and low-latency crowd work. In this paper we present such an extension, CRowdPQ, backed up by the database management system Crowdstore.


Database theory Graph query languages Crowdsourcing 


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Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016

Authors and Affiliations

  • Vitaliy Liptchinsky
    • 1
    • 2
  • Benjamin Satzger
    • 2
  • Stefan Schulte
    • 1
  • Schahram Dustdar
    • 1
  1. 1.Distributed Systems GroupTU WienViennaAustria
  2. 2.MicrosoftRedmondUSA

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