Title :
Knowledge community (K-Comm): Towards a digital ecosystem with collective intelligence
Author :
Lek, Hsiang Hui ; Poo, Danny C C ; Agarwal, Naresh Kumar
Author_Institution :
Dept. of Inf. Syst., Nat. Univ. of Singapore, Singapore, Singapore
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.
Keywords :
knowledge based systems; social networking (online); K-Comm; collective intelligence; digital ecosystem; knowledge community; knowledge-based social network; user profile; Ecosystems; Fiber reinforced plastics; Helium; Virtual reality; collective intelligence; digital ecosystem; expert system; knowledge capturing; knowledge community;
Conference_Titel :
Digital Ecosystems and Technologies, 2009. DEST '09. 3rd IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-2345-3
Electronic_ISBN :
978-1-4244-2346-0
DOI :
10.1109/DEST.2009.5276690