In order to solve problems involving the difficulties in organizing and maintaining knowledge as well as low efficiency and lack of effectiveness in the knowledge sharing service process caused by the huge quantity of knowledge while its quality is instable and unreliable in the knowledge supernetwork environment, the knowledge optimization step is introduced, and an optimization step-integrated knowledge sharing service mode is proposed. In the proposal mode, knowledge will be self-optimized and self-organized in the optimization step, and the fast and effective knowledge sharing service is provided to the users by integrating a knowledge optimization step into the knowledge sharing service step. Using extenics theories and methods, the implementation process of optimization step-integrated knowledge sharing service is put forward and built, and extension knowledge optimization methods, such as self-classification, self-clustering, and self-recognition based on matter-behavior element extension model and the mechanisms with the ways of the integration between the knowledge sharing service step and optimization step in the implementation process are also studied.
Key words
knowledge service /
knowledge sharing /
supernetwork /
knowledge optimization /
extenics
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