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文章基本信息

  • 标题:Topic Map Generation Using Text Mining
  • 作者:Karsten Böhm ; Gerhard Heyer ; Uwe Quasthoff
  • 期刊名称:Journal of Universal Computer Science
  • 印刷版ISSN:0948-6968
  • 出版年度:2002
  • 卷号:8
  • 期号:6
  • 页码:623-633
  • 出版社:Graz University of Technology and Know-Center
  • 摘要:Starting from text corpus analysis with linguistic and statistical analysis algorithms, an infrastructure for text mining is described which uses collocation analysis as a central tool. This text mining method may be applied to different domains as well as languages. Some examples taken form large reference databases motivate the applicability to knowledge management using declarative standards of information structuring and description. The ISO/IEC Topic Map standard is introduced as a candidate for rich metadata description of information resources and it is shown how text mining can be used for automatic topic map generation.
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