首页 | 官方网站   微博 | 高级检索  
     

Formal Ontology: Foundation of Domain Knowledge Sharing and Reusing
作者姓名:陆汝钤  金芝
作者单位:[1]KeyLaboratoryofManagement,DecisionandInformationSystemsInstituteofMathematics,AcademyofMathematicsandSystemSciencesKeyLaboratoryofIntelligentInformationProcessing,InstituteofComp [2]KeyLaboratoryofManage,DecisionandInformationSystemsInstituteofMathematics,AcademyofMathematicsandSystemSciencesKeyLaboratoryofIntelligentInformationProcessing,InstituteofComp
基金项目:国家自然科学基金,国家自然科学基金,国家高技术研究发展计划(863计划),国家重点基础研究发展计划(973计划),中国科学院知识创新工程项目 
摘    要:Domain analysis is the activity of identifying and representing the relevant information in a domain,so that the information can be shared and reused in similar systems.But until now,no efficient approaches are available for capturing and representing the results of domain analysis and then for sharing and reusing the domain knowledge.This paper proposes an ontology-oriented approach for formalizing the domain models.The architecture for the multiple-layer structure of the domain knowledge base is also discussed.And finally,some genetic algorithm-based methods have been given for supporting the knowledge sharing and reusing.

关 键 词:计算机心理学  形式本体论  知识领域  共享

Formal ontology: Foundation of domain knowledge sharing and reusing
Ruqian Lu,Zhi Jin.Formal Ontology: Foundation of Domain Knowledge Sharing and Reusing[J].Journal of Computer Science and Technology,2002,17(5):0-0.
Authors:Ruqian Lu  Zhi Jin
Affiliation:1. Key Laboratory of Management, Decision and Information Systems Institute of Mathematics, Academy of Mathematics and System Sciences, 100080, Beijing, P.R. China
2. Open Laboratory of Intelligent Information Processing, Fudan University, 200433, Shanghai, P.R. China
3. Key Laboratory of Multimedia and Intelligent Software, Beijing Polytechnic University, 100044, Beijing, P.R. China
4. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, The Chinese Academy of Sciences, 100080, Beijing, P.R. China
Abstract:Domain analysis is the activity of identifying and representing the relevant information in a domain, so that the information can be shared and reused in similar systems. But until now, no efficient approaches are available for capturing and representing the results of domain analysis and then for sharing and reusing the domain knowledge. This paper proposes an ontology-oriented approach for formalizing the domain models. The architecture for the multiple-layer structure of the domain knowledge base is also discussed. And finally, some genetic algorithm-based methods have been given for supporting the knowledge sharing and reusing. Partly supported by the National Natural Science Foundation of China (Grant No.69983010), the National Natural Science Key Foundation of China (Grant No.69733020), the National High-Tech Project (Grant No.2001AA113130), the Pre-973 Project (Grant No.2001CCA03000), the CAS Project of Brain and Mind Science and the Knowledge Innovation Program of the Chinese Academy of Sciences. LU Ruqian, male, was born in Shanghai, China, in 1935. He received the degree of Diplom Mathematiker from the Friedlich Schiller University of Jena in 1959. He joined the Institute of Mathematics in 1959 and is now a professor of this institute. He is also a professor of Fudan University and a guest professor of Institute of Computing Technology. He is a academician of the Chinese Academy of Sciences. His research interests include artificial intelligence, knowledge engineering and knowledge science, and theoretical computer science. JIN Zhi is a professor of computer science at the Academy of Mathematics and System Sciences. She received her Ph.D. degree in computer science from National University of Defense Technology in 1992. Her research interests include knowledge-based systems, ontology development, artificial intelligence, and requirements engineering. She has authored and co-authored one book and over 50 papers.
Keywords:domain knowledge model  virtual domain model  knowledge sharing and reusing  formal ontology  genetic algorithm
本文献已被 维普 万方数据 SpringerLink 等数据库收录!
点击此处可从《计算机科学技术学报》浏览原始摘要信息
点击此处可从《计算机科学技术学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号