The knowledge reorganization is of great importance in a knowledge base system. A concept and a method for multi-reorganizing rule-based systems using characteristics (attributes) of rules are presented, and an intelligent machine translation rule base system IMT-RB/EC based on this method is introduced. The system is, in essence, a knowledge base system with learning and self-reorganization capacities, and it has a clear structure with features of representing, assorting, refining, searching, improving and expanding knowledge.
展开▼
