Collaborative refinement method for process innovation knowledge network

Accumulating a large number of process innovation knowledge(PIK) is the prerequisite and basis for process innovation.PIK can be gradually refined by using. Hence, how to ensure the correctness of the PIK collaborative refinement is the basic work of knowledge accumulation. This paperproposes a construction method of PIK network by the imitating of biological neural network, and arefinement methodofPIKby the imitating of neural stimulation conduction. Because the refining processes are iterative, the refinement of process innovation needsa specificeditingmechanism and control mechanism, which allow multi-userto engage in collaborative editing and protect the consistency of collaborative editing result. Using the refinement method of PIK,it is possible to convert the discrete, rough knowledge into a PIK network that can effectively solve the process problems.