期刊文献+

基于领域本体的信息抽取方法研究

Information Extraction Methods Based on Domain Ontology
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摘要 本文介绍了领域本体以及基于其上的信息抽取方法和技术,根据目前自然语言发展所遇到的问题以及Internet的迅速发展,面对海量的数据和web文档,探讨基于先建立知识表示清晰,结构清楚的领域本体的可能性,并对在其上的信息抽取技术进行展望。 This article describes the domain ontology and the information extraction methods and techniques based on it,according to the current development of natural language problems and the rapid development of Internet,face on massive data and web documents,probe the possibility of building domain ontology that has distinct knowledge and clear structure,and outlook the information extraction technology on it.
作者 聂华
出处 《价值工程》 2012年第6期117-117,共1页 Value Engineering
关键词 自然语言 信息抽取 方法 natural language information extraction method
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参考文献3

  • 1Allen J.,Natural Language Understanding.The Benjamin/CummingsPublishing Company,IncCalifornia,1987.
  • 2James,P.,Knowledge Graphs,in Linguistic Instruments inKnowledgeEngineering(R.P.Van de Riet and R.A.Meersman,eds.)ISBN 0-444-88394-0,1992,97-117.
  • 3陆科进,李新颖.基于Ontology的文本信息抽取[J].计算机应用研究,2003,20(7):46-48. 被引量:18

二级参考文献6

  • 1David W Embley,et al. Ontology-based Extraction and Structuring of Information from Data-Rich Unstructured Documents[ C].Conference on Information and Knowledge Management,1998.52-59.
  • 2Embley D, et al. A Conceptual Modeling Approach to Extracting Data from the Web[C]. Proc. 17^th International Conference on Conceptual Modeling ( ER' 98), 1998.78-91.
  • 3Gruber T. A Translation Approach to Portable Ontology Specifications[J]. Knowledge Acquisition, 1993, (5) : 199-220.
  • 4Guarino N, Masolo C, Vetere G. OntoSeek : Content-based Access to the Web[J]. IEEE Intelligent Systems, 1999,14(3).
  • 5Weinstein P, Birmingham W. Creating Ontological Metadata for Digitial Library Content and Service [J]. Intl. J. Digital Libraries, 1998,2( 1 ) : 20-37.
  • 6ArmsWY 施伯乐 张亮 汪卫 等.数字图书馆概论[M].北京:电子工业出版社,2001..

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