Please use this identifier to cite or link to this item:
https://doi.org/10.1109/DEST.2009.5276690
DC Field | Value | |
---|---|---|
dc.title | Knowledge community (K-Comm): Towards a digital ecosystem with collective intelligence | |
dc.contributor.author | Lek, H.H. | |
dc.contributor.author | Poo, D.C.C. | |
dc.contributor.author | Agarwal, N.K. | |
dc.date.accessioned | 2013-07-11T10:16:31Z | |
dc.date.available | 2013-07-11T10:16:31Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | 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. <a href="https://doi.org/10.1109/DEST.2009.5276690" target="_blank">https://doi.org/10.1109/DEST.2009.5276690</a> | |
dc.identifier.isbn | 9781424423460 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/42723 | |
dc.description.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. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/DEST.2009.5276690 | |
dc.source | Scopus | |
dc.subject | Collective intelligence | |
dc.subject | Digital ecosystem | |
dc.subject | Expert system | |
dc.subject | Knowledge capturing | |
dc.subject | Knowledge community | |
dc.type | Conference Paper | |
dc.contributor.department | INFORMATION SYSTEMS | |
dc.description.doi | 10.1109/DEST.2009.5276690 | |
dc.description.sourcetitle | 2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09 | |
dc.description.page | 211-216 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
Show simple item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.