Please use this identifier to cite or link to this item: https://doi.org/10.1109/DEST.2009.5276690
Title: Knowledge community (K-Comm): Towards a digital ecosystem with collective intelligence
Authors: Lek, H.H.
Poo, D.C.C. 
Agarwal, N.K. 
Keywords: Collective intelligence
Digital ecosystem
Expert system
Knowledge capturing
Knowledge community
Issue Date: 2009
Source: Lek, H.H.,Poo, D.C.C.,Agarwal, N.K. (2009). Knowledge community (K-Comm): Towards a digital ecosystem with collective intelligence. 2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09 : 211-216. ScholarBank@NUS Repository. https://doi.org/10.1109/DEST.2009.5276690
Abstract: In this paper, we present a platform called Knowledge Community (K-Comm) that embodies the principles of a digital ecosystem with collective intelligence. This platform is a knowledge-based social network which allows users to contribute and seek information. Users can ask questions or answer questions asked by other members. K-Comm also captures the user profile, and based on a user's participation, identifies his/her area of interest and expertise. The platform is built around the philosophy that each individual has knowledge in a number of areas and that everybody can be an expert in one area or the other. The whole platform is driven by community effort. From a researcher's point of view, this platform provides the researcher with a rich resource in multiple domains. ©2009 IEEE.
Source Title: 2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09
URI: http://scholarbank.nus.edu.sg/handle/10635/42723
ISBN: 9781424423460
DOI: 10.1109/DEST.2009.5276690
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