Research Article
Crowdstore: A Crowdsourcing Graph Database
257 downloads
@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
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.
Copyright © 2015–2024 ICST