Using collaborative knowledge base to realize adaptive message filtering in collaborative virtual environment

In collaborative virtual environment (CVE), users need to do some collaborative work, which is highly synchronous. To achieve effective collaboration, the level of user behavior´s simulation accuracy (LOA) in CVE must be high. But if we adopt static high LOA, system´s scalability will be greatly decreased. So scalability request must compromise with collaborative request. This paper analyses 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 CVE system´s scalability, is put forward.