与传统的基于规则的系统相比，基于案例推理的系统具有简化知识获取、便于知识积累等优点。
Comparing to traditional rule-based system, it has many advantages, which can predigest knowledge gathering and accumulate knowledge easily.
本文介绍了基于推理技术和数据库技术相结合的知识库系统的体系结构，阐述了各模块功能，提出了几种改善系统效率的方法。
The architecture of the knowledge base system-KBMS is based on integrating data base and inference techniques. Module functions and some methods of improving system efficiency are presented.
该理论综合了现有问答系统的优点，有望基于纯粹的文本知识，实现检索、理解、推理一体化的机制。
This theory combined the excellence of current Question Answering System and is hoped to fulfill the mechanism of retrieval, understanding and reasoning based on pure text knowledge.
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