Issue No. 03 - September (1990 vol. 2)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/69.60793
<p>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.</p>
G-net model; knowledge representation; reasoning; static semantic knowledge; dynamic control knowledge; knowledge hierarchy; inheritance reasoning; recognition reasoning; dynamic knowledge; knowledge objects; information systems prototyping; knowledge representation; Petri nets; software engineering
S. Chang and Y. Deng, "A G-Net Model for Knowledge Representation and Reasoning," in IEEE Transactions on Knowledge & Data Engineering, vol. 2, no. , pp. 295-310, 1990.