Visual Based Content Understanding towards Web Adaptation

  • Authors:

  • Xiao-Dong Gu;Jinlin Chen;Wei-Ying Ma;Guo-Liang Chen

  • Affiliations:

  • -;-;-;-

  • Venue:
  • AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
  • Year:
  • 2002

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Abstract

Web content structure is proposed to facilitate automatic web page adaptation in this paper. By identifying the logic relationship of web content based on layout information, web content structure effectively represents authors' presentation intention. An automatic top-down, tag-tree independent approach to detect web content structure is presented. It simulates how a user understands web layout structure based on his vision. Comparing to other content analysis techniques, our approach is independent to physical realization and works well even when the physical structure is far different from layout structure. Besides, our approach is an O(n)-time process which is much more efficient comparing to other approaches with O(n2)-time complexity. Furthermore, our approach is tag tree independent, which means it can be applied to web contents of arbitrary physical realization formats. Experiments show satisfactory results.