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A framework for collective intelligence from internet Q&A documents

Authors
Oh J.[Oh J.]Jeong O.-R.[Jeong O.-R.]Lee E.[Lee E.]Kim W.[Kim W.]
Issue Date
2011
Keywords
Classification algorithms; Collective intelligence; Q& A thesaurus framework; Social computing
Citation
International Journal of Web and Grid Services, v.7, no.2, pp.134 - 146
Indexed
SCIE
SCOPUS
Journal Title
International Journal of Web and Grid Services
Volume
7
Number
2
Start Page
134
End Page
146
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/71966
DOI
10.1504/IJWGS.2011.040445
ISSN
1741-1106
Abstract
One source of collective intelligence on the internet is the Question and Answer (Q&A) data available from many Q&A sites. Although such data has been helpful to many people, its helpfulness is limited. The data is dispersed across different sites. Even on the same site, the data is often not properly organised or ranked. This paper proposes a framework for constructing and extending a Q&A thesaurus for various applications, including online commerce. We have implemented the framework, and validated the accuracy of Q&A data classification. Copyright © 2011 Inderscience Enterprises Ltd.
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