期刊文献+

一种基于框架的情境知识表示方法 被引量:4

Research on the Representation Method of Chinese Sinario Knowledge Using Frames
下载PDF
导出
摘要 目前的语义信息表示方法普遍缺乏情境知识的内容,而在计算机信息处理的智能化方面,情境知识又显得至关重要,因此,本文以汉语框架语义知识库(CFN)中的框架信息为情境知识的内容来源,通过善于处理异步状态变迁和并发事件的计算机语言Petri网来形式化表示情境知识,使之成为计算机可读、可理解的情境知识资源,从而有利于实现智能化语义推理功能。 Sinario knowledge has been omitted by the existing semantic information representation methods.Therefore,this paper chooses the frame information from the Chinese FrameNet(CFN) as the content source of sinario knowledge and the computer language Petri as representation form,which is good at solving asynchronous state transition and concurrent event.As result,the sinario knowledge resources become machine readable and understandable,which will be beneficial to semantic inference with intelligence.
出处 《情报杂志》 CSSCI 北大核心 2011年第1期155-158,共4页 Journal of Intelligence
基金 国家社会科学基金项目"汉语框架语义知识库的语义角色标注规则研究"(编号:07CYY022)
关键词 框架 PETRI网 情境知识 frame Petri sinario knowledge
  • 相关文献

参考文献9

  • 1George A, Miller. Christiane Fellbaum. WordNet Then and Now [ J]. Lang Resources & Evaluation .2007 ( 41 ) :209 - 214.
  • 2Richardson S D, W B Dolan,L Vanderwende. MindNet: Acqui- ring and Structuring Semantic Information from Text[ J]. In Pro- ceedings of Aclcoling. Montreal, 1998 : 1098-1102.
  • 3由丽萍,杨翠.汉语框架语义知识库概述[J].电脑开发与应用,2007,20(6):2-4. 被引量:8
  • 4董振东.汉语知识词典及词汇内部语义描述研究[J].语言文字应用,2000(1):29-31. 被引量:11
  • 5Charles J. Fillmore. Frames and the Semantics of Understanding [ J ]. Quademi di Semantica, 1985 ( 2 ).
  • 6Liping You, Tao Liu, Kaiying Liu. Chinese FrameNet and OWL Representation [ C ]. In : Proceedings of 6th International Conference on Advanced Language Processing and Web Informa- tion Technology( ALPIT 2007 ), 2007, 8.
  • 7郭雷,方俊,王晓东.基于WordNet的本体澄清[J].计算机科学,2008,35(10):145-147. 被引量:4
  • 8贾君枝,刘艳玲.基于本体的FrameNet框架之间域关系分析[J].情报杂志,2008,27(2):53-55. 被引量:4
  • 9Carl Adam Pctri. Communication with Automata [ D ]. Darms tadt: University of Technology, 1962.

二级参考文献22

  • 1冯志伟.从格语法到框架网络[J].解放军外国语学院学报,2006,29(3):1-9. 被引量:64
  • 2Pedersen T , Banerjee S , Patwardhan S. Maximizing Semantic Relatedness top erform Word Sense Disambiguation. research report umsi 2005/25. Supercomputing Institute, University of Minnesota, 2005
  • 3Sleator D, Temperley D. Parsing English with a Link Grammar. technical report. CMU-CS-91-196. Carnegie Mellon University, 1991
  • 4Ushold M, Gruninger M. Ontologies.. Principles, methods and applications. The Knowledge Engineering Review, 1996,11 ( 2 ) : 93-136
  • 5Guarino N. Formal ontology and information systems//Proc, of the 1st Int'l Conf. on Formal Ontologies in Information Systems (FOIS98). Trento, Italy, IOS Press, 1998 : 3 15
  • 6Fellbaum C. Wordnet : An Electronic Lexical Database. Cambridge: MIT Press, 1998
  • 7Missikoff M, Navigli R, Velardi P. Integrated approach to Web ontology learning and engineering. IEEE Computer, 2002, 35 (11):60-63
  • 8NavigliR, Velardi P, Gangemi A. Ontology learning and its application to automated terminology translation. IEEE Intelligent Systems, 2003,18 (1) : 22-31
  • 9Banerjee S, Pedersen T. Extended gloss overlaps as a measure of semantic relatedness//Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Acapulco, 2003 : 805-810
  • 10[1]Josef Ruppenhofer,Michael Ellsworth,Miriam R L Petruck,et al.FrameNet:Theory and Practice[EB].http://framenet.icsi.berkeley.edu/book/book.html.Printed June 13,2005

共引文献20

同被引文献79

引证文献4

二级引证文献36

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部