Knowledge View Based on Rough Set and Similarity

View maintenance is a hot topic in database. But unlike database view, the knowledge view of knowledge management system has its particularity. The knowledge view is a cache of knowledge item that can be access quickly. Based on rough set, this paper proposes an approach of constructing knowledge view. The approach divides the knowledge set into three region using rough set theory, then reduces the three region by calculating interest similarity of every knowledge item, and finally the knowledge view will be constructed by filtering the knowledge item of merged region that consists of the three reduced region. The experiment results show that the approach can construct knowledge view efficiently.