【摘要】 文中根据数学领域自然语言理解的特点,主要实现了一个基于领域自然语言理解的知识库管理系统,给出了概念知识库异常检测的基本内容、流程和方法。重点分析了知识库的冗余性、不一致性等方面的内容,给出了相应的检测方法,应用于知识库的具体组织与实现,在一定程度上解决了知识库的冗余和一致性问题。目的是向中学数学智能辅导系统提供自然语言接口,建立领域知识库作为理解建模系统的输入。该系统在教学领域智能辅导系统中得到了较好的应用。更多还原

【Abstract】 According to the characteristic of natural language understanding in mathematics domain,achieved a field of natural language understanding based on the knowledge base management systems,presented the concept of the knowledge base anomaly detection elements,processes and methods.Focus on the knowledge base of redundancy,consistency,and gives the corresponding detection method,applied to the specific knowledge base and realization of the organization,to a certain extent,resolved the knowledge base of redundancy and consistency.The purpose is to intelligent tutoring systems to provide natural language interface,to establish a knowledge base in the area as the understanding of the system input.This system has been applied to intelligent tutoring systems well.更多还原