摘要
基于伪自然语言理解，提出并实现了一个种高效率的知识获取方法，并把它用于ＣＡＩ系统的开发中。首先知识。程师利用类自然语言的ＢＬ语言改写书本自然描述，然后利用知识编泽系统处理ＢＬ程序以高效率地实现书本知识获取，再后领域专家在书本知识库的基本语义框架引导下利用知识求精系统对书本知识库加以少许求精，接着对领域知识库动态全局规划，把领域知识分解成一个个概念．最后通过文法生成组织成一个个课文传授予学生。
Based on pseudo-natural langusge understanding,we put forward and carry out a highly efficient knowledge acquisition method, and use it for developing CAI systems.At first.knowledge engineers rewrite natural description in a domain book by BL language, similar to natural language. Then they use a knowledge compiler for dealing with the BL program, to highly efficiently carry out book knowledge aequisition.Then domain experts refine slightly the book knowledge base,under the basic semantic frame of the book knowledge base,by a knowledge refining system.Then a CAI system dynamically overall plans the domain knowledge base and decomPOses domain knowledge into some concepts. At last. it composes the content concerned with every concept into a text by syntax formation and imparts the text to students.
出处
《计算机工程》
CAS
CSCD
北大核心
2000年第1期3-5,共3页
Computer Engineering
基金
福建省自然科学基金
关键词
CAI
自然语言理解
知识获取
知识库
BL language describing book knsowledge
Knowledge compiling
Semantic graph
