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机构地区:[1]华南理工大学机电工程系,广东广州510640
出 处:《机械设计》2002年第8期33-36,共4页Journal of Machine Design
基 金:广东省科技创新百项工程项目(99B01901G);广东省自然科学基金资助项目(990545)
摘 要:在论述面向专业知识文本的知识获取方法———自然语言理解与专家系统的不足之后,提出了一种面向机械知识Web文本的知识获取新途径。首先提出一种能包容多种知识载体与知识表示方法的统一知识表示模型,并基于该模型设计机械知识XML标记。文字资料经过标记处理,知识仍保留在原Web文本中而形成具有层次结构的Web文本知识库。最后研究相应的知识获取方法并开发知识获取系统,该系统可理解用户的自然语言问句,在文本中找到相关知识并进行推理,依据推理结果回答用户提问,实现面向Web文本的知识自动获取。<Abstrcat>A kind of new way of knowledge acquisition oriented to Web document of mechanical knowledge was put forward after the deficiency of knowledge acquisition method facing to document of speciality knowledge:natural language understanding and expert system was being discussed.A kind of unified knowledge expressive model which can include many sorts of knowledge carriers and konwledge expression method was advanced firstly,and then the XML tag of mechanical knowledge was designed based upon this model.After word materials are being tag processed,knowledge still stays in the original Web document but forms the Web documental knowledge base with hierarchical struture.Finally,the corresponding knowledge acquisition method was studied and the knowledge acquisition system was developed.That system could understand the user's question in natural knowledge and found out interrelated knowledge in the document and carried out reasoning.Answer the user's question according to the result of reasoning and achieved automatic knowledge acquisition facing Web document.
关 键 词:知识获取 知识表示 XML WWW 机械设计 人工智能 WEB文本
分 类 号:TH122[机械工程—机械设计及理论] TP18[自动化与计算机技术—控制理论与控制工程]
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