基于本体的几何学知识获取及知识表示  

Geometry Knowledge Acquisition and Representation on Ontology

作　　者：钟秀琴[1] 符红光[1,2] 佘莉[1] 黄斌[3] 

机构地区：[1]电子科技大学计算机科学与工程学院,成都610054 [2]中国科学院成都计算机应用研究所,成都610041 [3]成都信息工程学院,成都610225

出　　处：《计算机学报》2010年第1期167-174,共8页Chinese Journal of Computers

基　　金：国家"九七三"重点基础研究发展规划项目基金(2004CB318003)资助~~

摘　　要：文中研究了基于本体的几何学知识获取,并运用此方法获取几何学领域中的类、属性、关系及公理等;同时,研究了基于本体的知识表示,并将几何学知识转化为该领域本体,用RDF/OWL的形式进行描述.在此基础上构建了一个可共享、可重用、可扩展的几何学本体,形成了一套较完整的几何学知识获取和知识表示体系,将其应用于建立几何学知识库,可大大提高知识搜索和知识推理的效率,并为几何学专家系统、几何学信息检索、几何学教育系统、自然语言理解等领域提供智能基础.Knowledge acquisition is the bottleneck of knowledge engineering, and knowledge representation is the key technology in knowledge engineering. Ontology is a powerful implement for applications in many fields, which is so convenient that it is the promising method to resolve knowledge acquisition and representation. It ＇ll mainly depends on semantic Web unless it has great breakthrough in Chinese natural language processing. In order to construct ontology for formalizing the concepts precisely in the very domain, and define the relationships between concepts in machine processing clearly, the authors research knowledge acquisition on domain ontology to acquire the category, the instance, the attribute, the relation and the axiom such as axioms between categories, axioms between attributes, axioms of range, axioms of semantic types and so on. Meanwhile, we research knowledge representation based on ontology to convert geometry knowledge into domain ontology represented in RDF/OWL. Furthermore, the authors establish a sharable, reusable and extensible geometry ontology and induce several geometry knowledge acquisition and representation modes, which can improve the efficiency of knowledge searching and reasoning in constructing geometry knowledge base, and also it can be the foundation of geometry expert systems, geometry information search systems, geometry educational systems and so on.

关 键 词：几何学 本体 知识获取 知识表示 RDF(S) 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]