LAUSR

Knowledge advantage machine (KaM) is an advanced system for knowledge exploitation. In this paper, we propose a Collaboration Centric Behavior Model, which helps one or more knowledge-workers to discover and link useful knowledge objects dubbed JANs into a semantic knowledge network. The JAN is constructed as a semantic web service to semantically present three categories of service behavior: expected service behavior that presents what requestor expects it to serve; actual service behavior that presents how it offers its service; and quality evaluation that presents whether its service behavior is consistent with requestor’s expectation by checking conformance. On the basis of the KaM architecture, we build a process model to implement to discovery a JAN and link different JANs as a personal knowledge network or a group knowledge network. This is illustrated using an academic research scenario. Experimental results show that the proposed method is feasible and effective.