Tree-Structured Template Generation for Web Pages

  • Authors:
  • Shui-Lung Chuang;Jane Yung-jen Hsu

  • Affiliations:
  • Academia Sinica, Taiwan;National Taiwan University, Taipei

  • Venue:
  • WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
  • Year:
  • 2004

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Abstract

As the web becomes an increasingly important source of information, tools for modeling, searching, and extracting information from Web pages are indispensable. By modeling the structure of a Web page defined by its markup tags, one can easily extract target information using structural templates. This paper introduces the Tree Template Automatic Generator (TTAG) that learns tree-structured templates from training Web pages. TTAG was applied to both query-based and frequently updated Web sites, and produced effective templates from a small number of examples. The experiments show that TTAG is a powerful extraction tool for semi-structured information sources.