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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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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