TY - GEN
T1 - Semantic-enhanced personalised support for knowledge sharing in virtual communities
AU - Kleanthous, Styliani
PY - 2007
Y1 - 2007
N2 - Virtual communities are currently one of the fastest growing applications on the web. In this research, we argue that personalised support should be tailored to the needs of the community as a whole, as opposed to adapting only to individuals, Based on 4 processes identified as important, we propose a computational framework that includes the extraction of a comprehensive community model and the deployment of that model to provide support adapted to the effective functioning of a community.
AB - Virtual communities are currently one of the fastest growing applications on the web. In this research, we argue that personalised support should be tailored to the needs of the community as a whole, as opposed to adapting only to individuals, Based on 4 processes identified as important, we propose a computational framework that includes the extraction of a comprehensive community model and the deployment of that model to provide support adapted to the effective functioning of a community.
UR - http://www.scopus.com/inward/record.url?scp=37249090718&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:37249090718
SN - 9783540730774
VL - 4511 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 465
EP - 469
BT - User Modeling 2007 - 11th International Conference, UM 2007, Proceedings
T2 - 11th International User Modeling Conference, UM 2007
Y2 - 25 June 2007 through 29 June 2007
ER -