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Collaborative knowledge base and its application in adaptive message filtering for collaborative virtual environment

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2 Author(s)
Ling Chen ; Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China ; Chen Gen-Cai

In a collaborative virtual environment (CVE), users need to do some collaborative work, which is highly synchronous. To achieve effective collaboration, the level of simulation accuracy (LOA) of a user's behavior in CVE must be high. However, if we adopt a static high LOA, a system's scalability is greatly decreased. Thus a scalability request must compromise with a collaborative request. The paper analyses a CVE system's scalability request and collaborative request, and presents a classification of collaborative work and a definition of collaborative knowledge base (CKB). Based on CKB, a knowledge-based adaptive message filtering technique, which improves the CVE system's scalability, is put forward.

Published in:

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on  (Volume:5 )

Date of Conference:

6-10 April 2003