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基于Concept-Relation模型的知识联通 被引量:6

Based-Concept-Relation-Model Knowledge Interconnection
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摘要 It is necessary for computer to have a large knowledge base, while a lot of practice has proved that computer more needs broad knowledge interconnection in order to really realize intelligence. MindNet has dealt with the semantic path, which is kind of word-interconnection. In National Knowledge Infrastructure (NKI), we regard a closed-semantic statement as a whole knowledge unit, and discuss the interconnectivity between two statements.Knowledge interconnection is necessary in the view of knowledge engineering, and is feasible in the view of cognition and semantics. In this paper, we firstly introduce concept-relation-model, which is a suitable knowledge representation model for knowledge interconnection, and then we discuss knowledge interconnection based on the properties of relations in CR-model. It is necessary for computer to have a large knowledge base, while a lot of practice has proved that computer more needs broad knowledge interconnection in order to really realize intelligence. MindNet has dealt with the semantic path, which is kind of word-interconnection. In National Knowledge Infrastructure (NKI), we regard a closed-semantic statement as a whole knowledge unit, and discuss the interconnectivity between two statements-Knowledge interconnection is necessary in the view of knowledge engineering, and is feasible in the view of cognition and semantics. In this paper, we firstly introduce concept-relation-model, which is a suitable knowledge representation model for knowledge interconnection, and then we discuss knowledge interconnection based on the properties of relations in CR-model.
出处 《计算机科学》 CSCD 北大核心 2002年第11期53-55,58,共4页 Computer Science
基金 国家973项目(编号:G1999032701)
关键词 Concept-Relation模型 知识联通 知识库 人工智能 CR-model, Generalization, Specialization, Generalized path, Knowledge interconnection
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参考文献9

  • 1Johnson P E. What kind of expert should a system be? Medicine and Philosophy, 1983,8: 77~ 97
  • 2Gallant S I. Connectionist expert systems. Communications of the ACM, 1988,31:152~169
  • 3伍谦光.语义学导论[M].长沙:湖南教育出版社,1987..
  • 4Miller G A,et al. Introduction to WordNet: An On-line Lexical Database. Princeton University, 1993
  • 5Lenat D B. Cyc: A Large-Scale Investment in Knowledge Infrastructure. Communications of the ACM, 1995,38 (11): 1 ~ 38
  • 6Richardson S D,Dolan W B,Vanderwende L. MindNet: acquiring and structuring semantic information from text. Microsoft Research Technical Publications (MSR-TR-98-23), 1998. 网址:ftp://ftp. research.microsoft. com/pub/tr/tr-98-23. doc
  • 7Richardson S. Determining similarity and inferring relations in a lexical knowledge base: [PhD. dissertation]. City University of New York, 1997
  • 8董振东.语言知识库和常识库的建设一《知网》简介.见:钟义信.中国人工智能进展.北京:北京邮电大学出版社,2001.967-970
  • 9孟庆武,程虎,等.基于知识联接的自动推理方法及应用.见:史忠植,怀进鹏,田启家.人工智能进展.北京:清华大学出版社,2001.29-34

共引文献18

同被引文献30

  • 1雷玉霞.基于本体的军事知识获取和知识分析[J].计算机科学,2002,29(z2):144-147. 被引量:1
  • 2郝天永,曹存根.基于PADL的古代人物简历知识获取[J].计算机科学,2005,32(3):169-174. 被引量:3
  • 3杜文华.本体构建方法比较研究[J].情报杂志,2005,24(10):24-25. 被引量:38
  • 4孙雨生,詹萌.国内外本体论技术研究与进展[J].情报杂志,2005,24(12):44-45. 被引量:12
  • 5Lei Yuxia, Cao Cungen, Sui Yuefei. Based-CR Knowledge Interconnection in National Knowledge Infrastructure. ICII'2001 ,C:134-139.
  • 6Gallant S I. Connectionist expert systems. Communications of the ACM,1988,31:152-169.
  • 7Richardson S D,Dolan W B,Vanderwende L. MindNet: acquiring and structuring semantic information from text. Microsoft Research Technical Publications, 1998. 网址 : ftp: //ftp. research, microsoft. com/pub/tr/tr-98-23. doc.
  • 8Richardson S. Determining similarity and inferring relations in a lexical knowledge base:[PhD. dissertation]. City University of New York, 1997.
  • 9Lei Yuxia, Cao Cungen, Sui Yuefei. Based-CR Knowledge Interconnection in National Knowledge Infrastructure. ICII'2001,2001,C:134-139
  • 10Gallant S I. Connectionist expert systems. Communications of the ACM,1988,31:152-169

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