Extracting content structure for web pages based on visual representation

  • Authors:
  • Deng Cai;Shipeng Yu;Ji-Rong Wen;Wei-Ying Ma

  • Affiliations:
  • Microsoft Research Asia, Tsinghua University, Beijing, P. R. China;Microsoft Research Asia, Peking University, Beijing, P. R. China;Microsoft Research Asia;Microsoft Research Asia

  • Venue:
  • APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
  • Year:
  • 2003

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Abstract

A new web content structure based on visual representation is proposed in this paper. Many web applications such as information retrieval, information extraction and automatic page adaptation can benefit from this structure. This paper presents an automatic top-down, tag-tree independent approach to detect web content structure. It simulates how a user understands web layout structure based on his visual perception. Comparing to other existing techniques, our approach is independent to underlying documentation representation such as HTML and works well even when the HTML structure is far different from layout structure. Experiments show satisfactory results.