Crowdstore: A Crowdsourcing Graph Database

Vitaliy Liptchinsky; Benjamin Satzger; Stefan Schulte; Schahram Dustdar

Collaborative Computing: Networking, Applications, and Worksharing. 11th International Conference, CollaborateCom 2015, Wuhan, November 10-11, 2015, China. Proceedings

Research Article

Crowdstore: A Crowdsourcing Graph Database

Download

216 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-319-28910-6_7,
    author={Vitaliy Liptchinsky and Benjamin Satzger and Stefan Schulte and Schahram Dustdar},
    title={Crowdstore: A Crowdsourcing Graph Database},
    proceedings={Collaborative Computing: Networking, Applications, and Worksharing. 11th International Conference, CollaborateCom 2015, Wuhan, November 10-11, 2015, China. Proceedings},
    proceedings_a={COLLABORATECOM},
    year={2016},
    month={2},
    keywords={Database theory Graph query languages Crowdsourcing},
    doi={10.1007/978-3-319-28910-6_7}
}

Vitaliy Liptchinsky
Benjamin Satzger
Stefan Schulte
Schahram Dustdar
Year: 2016
Crowdstore: A Crowdsourcing Graph Database
COLLABORATECOM
Springer
DOI: 10.1007/978-3-319-28910-6_7

Vitaliy Liptchinsky^,*, Benjamin Satzger¹^,*, Stefan Schulte²^,*, Schahram Dustdar²^,*

1: Microsoft
2: TU Wien

*Contact email: liptchinsky@dsg.tuwien.ac.at, benjamin.satzger@microsoft.com, schulte@dsg.tuwien.ac.at, dustdar@dsg.tuwien.ac.at

Abstract

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.

Keywords: Database theory Graph query languages Crowdsourcing

Published: 2016-02-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-28910-6_7