DocumentCode
3538682
Title
Selecting the Best Solvers: Toward Community Based Crowdsourcing for Disaster Management
Author
Zhiyong Yu ; Daqing Zhang ; Dingqi Yang ; Guolong Chen
Author_Institution
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
fYear
2012
fDate
6-8 Dec. 2012
Firstpage
271
Lastpage
277
Abstract
Crowd sourcing is a new paradigm of service provision. Current commercial crowd sourcing platforms rarely consider the interaction between task takers, which is extremely required in the disaster management scenario. In this paper, we designed a framework for community based crowd sourcing, i.e., task takers are from an existing community or will easily form a new community. A size-specified community creation method using multiple social contexts is also proposed.
Keywords
emergency management; outsourcing; social networking (online); commercial crowdsourcing platforms; community based crowdsourcing; disaster management; multiple social contexts; service provision; size-specified community creation method; task takers interaction; Collaboration; Communities; Context; Disaster management; Humans; Satellites; Social network services; community based crowdsourcing; community creation; disaster management; social awareness;
fLanguage
English
Publisher
ieee
Conference_Titel
Services Computing Conference (APSCC), 2012 IEEE Asia-Pacific
Conference_Location
Guilin
Print_ISBN
978-1-4673-4825-6
Type
conf
DOI
10.1109/APSCC.2012.20
Filename
6478226
Link To Document