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知识抽取技术综述 被引量:15

Survey of knowledge extraction technologies
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摘要 知识抽取主要研究如何从无语义信息的文档内容中抽取与本体匹配的事实知识,进而实现对Web数据充分、有效的利用,已经成为国内外语义Web领域的研究热点之一。介绍了知识抽取相关技术知识,系统地分析比较了面向英文和中文的知识抽取方法,着重探讨了对中文自然语言文档内容的自动知识抽取方法,指出了目前该类方法的不足,并展望了知识抽取发展的方向。 Knowledge extraction,whose main task is to extract the factual knowledge from the no-semantics-embedded documents and to realize the full and effective use of Web data,has become a hot topic in the semantic Web field. Firstly,this paper gave a brief introduction of knowledge extraction related technologies. Secondly,analyzed and compared the English-oriented and Chinese-oriented knowledge extraction methods systematically,especially the methods towards Chinese natural language documents. Lastly,pointed out the main drawbacks of the current methods and discussed the future development direction of knowledge extraction.
出处 《计算机应用研究》 CSCD 北大核心 2010年第9期3222-3226,共5页 Application Research of Computers
基金 吉林省青年科研基金资助项目(20090108) 吉林省科技发展计划资助项目(20090111) 吉林大学基本科研业务费资助项目(421032051421)
关键词 知识抽取 语义WEB 综述 knowledge extraction semantic Web survey
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参考文献42

  • 1BERNERS-LEE T,HENDLER J,LASSILA O.The semantic Web[J].Scientific American,2001,284(5):34-43.
  • 2BENJAMINS V R,CONTRERAS J,CORCHO O,et al.Six challenges for the semantic Web[C]//Proc of Semantic Web Workshop.Berlin:Springer,2002.
  • 3STUDER R,BENJAMINS V R,FENSEL D.Knowledge enginee-ring:principles and methods[J].Data and Knowledge Enginee-ring,1998,25(1-2):161-197.
  • 4MANOLA F,MILLER E.RDF primer[BE/OL].(2004-02-10)[2008-09-20].http://www.w3.org/TR/rdf-primer/.
  • 5MILLER G A,BECKWITH R,FELLBAUM C,et al.Introduction to WordNet:an on-line lexical database[J].Journal of Lexicography,1990,3(4):235-312.
  • 6DONG Zhen-dong,DONG Qiang.HowNet[EB/OL].(2000)[2008-10-06].http://www.keenage.com/zhiwang/e_zhiwang.html.
  • 7荆涛,左万利,孙吉贵,车海燕.中文网页语义标注:由句子到RDF表示[J].计算机研究与发展,2008,45(7):1221-1231. 被引量:31
  • 8COHEN W,HURST M,JENSEN L.A flexible learning system for wrapping tables and lists in HTML documents[C]//Proc of the 11th International World Wide Web Conference.New York:ACM Press,2002:232-241.
  • 9KOSALA R,BLOCKEEL H,BRUYNOOGHE M,et al.Information extraction from structured documents using k-testable tree automaton inference[J].Data & Knowledge Engineering,2006,58(2):129-158.
  • 10TENIER S,TOUSSAINT Y,NAPOLI A,et al.Instantiation of relations for semantic annotation[C]//Proc of IEEE/WIC/ACM International Conference on Web Intelligence.Washington DC:IEEE Computer Society,2006:463-472.

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