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A G-net model for knowledge representation and reasoning

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2 Author(s)
Yi Deng ; Dept. of Comput. Sci., Pittsburgh Univ., PA, USA ; Shi-Kuo Chang

The G-net model for G-type knowledge representation is introduced. It is capable of modeling both static semantic knowledge and dynamic control knowledge, combining them into a loosely coupled, mixed-type knowledge hierarchy. Four reasoning algorithms for the G-net model are proposed: inheritance reasoning and recognition reasoning for semantic knowledge, event-driven reasoning for dynamic knowledge, and control table reasoning for coordination and control in a mixed-type knowledge hierarchy. Based on the knowledge-table representation, the G-net model expresses the constraints and relationships among knowledge objects explicitly so that reasoning algorithms can be implemented efficiently. Applications to information systems prototyping are discussed

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Knowledge and Data Engineering, IEEE Transactions on  (Volume:2 ,  Issue: 3 )