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 :
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