Crowdstore: A crowdsourcing graph database

Publikationstyp
Conference Paper
Date Issued
2016-01
Sprache
English
Author(s)
Liptchinsky, Vitaliy  
Satzger, Benjamin  
Schulte, Stefan  
Dustdar, Schahram  
TORE-URI
http://hdl.handle.net/11420/11864
Journal
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
Volume
163
Start Page
72
End Page
81
Citation
International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2015)
Contribution to Conference
International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2015  
Publisher DOI
10.1007/978-3-319-28910-6_7
Scopus ID
2-s2.0-84958047409
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.
Subjects
Crowdsourcing
Database theory
Graph query languages
DDC Class
000: Allgemeines, Wissenschaft