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Dynamic knowledge management from multiple sources in crowdsourcing environments

Authors
Kim, M.Rho, S.
Issue Date
Oct-2015
Publisher
Taylor and Francis Ltd.
Keywords
Collective intelligence; Crowdsourcing; Folksonomy; Information retrieval; Knowledge management; Social networks; Web 2.0
Citation
New Review of Hypermedia and Multimedia, v.21, no.3-4, pp 199 - 211
Pages
13
Journal Title
New Review of Hypermedia and Multimedia
Volume
21
Number
3-4
Start Page
199
End Page
211
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60290
DOI
10.1080/13614568.2015.1036133
ISSN
1361-4568
1740-7842
Abstract
Due to the spread of smart devices and the development of network technology, a large number of people can now easily utilize the web for acquiring information and various services. Further, collective intelligence has emerged as a core player in the evolution of technology in web 2.0 generation. It means that people who are interested in a specific domain of knowledge can not only make use of the information, but they can also participate in the knowledge production processes. Since a large volume of knowledge is produced by multiple contributors, it is important to integrate and manage knowledge efficiently. In this paper, we propose a social tagging-based dynamic knowledge management system in crowdsourcing environments. The approach here is to categorize and package knowledge from multiple sources, in such a way that it easily links to target knowledge.
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소프트웨어대학 (소프트웨어학부)
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