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A Web Content Extraction Method Base on Punctuation Distribution and HTML Tag Similarity

In: Liss 2013

Author

Listed:
  • Nan Gong

    (Beijing University of Posts and Telecommunications)

  • Chunxiao Fan

    (Beijing University of Posts and Telecommunications)

  • Yuexin Wu

    (Beijing University of Posts and Telecommunications)

  • Yue Ming

    (Beijing University of Posts and Telecommunications)

Abstract

Currently, web content extraction methods mostly focus on single-theme pages and have poor adaptability for multi-theme pages. In order to overcome this issue, this paper proposed a web content extraction method based on the punctuation distribution and HTML tag similarity. According to the characteristic that most of the punctuation appeared in the main text areas but rarely appeared in noise areas of web pages, an algorithm of obtaining minimum text area was presented. Furthermore, in the case of multi-theme pages, this paper proposed an approach to extract the titles and contents from each theme by further dividing the minimum text area into sub theme areas based on the tag similarity. Experimental results showed that the proposed method can effectively and accurately extract web content in different themes.

Suggested Citation

  • Nan Gong & Chunxiao Fan & Yuexin Wu & Yue Ming, 2015. "A Web Content Extraction Method Base on Punctuation Distribution and HTML Tag Similarity," Springer Books, in: Runtong Zhang & Zhenji Zhang & Kecheng Liu & Juliang Zhang (ed.), Liss 2013, pages 803-810, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40660-7_120
    DOI: 10.1007/978-3-642-40660-7_120
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