Talks and Poster Presentations (with Proceedings-Entry):
V. Liptchinsky, B. Satzger, S. Schulte, S. Dustdar:
"Crowdstore: A Crowdsourcing Graph Database";
Talk: 11th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2015),
Wuhan, China;
2015-11-10
- 2015-11-11; in: "Collaborative Computing: Networking, Applications, and Worksharing, 11th International Conference, CollaborateCom 2015, Proceedings",
S. Guo, X. Liao, F. Liu, Y. Zhu (ed.);
Springer International Publishing,
LNICST 163
(2016),
ISBN: 978-3-319-28909-0;
72
- 81.
English 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
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1007/978-3-319-28910-6_7
Created from the Publication Database of the Vienna University of Technology.