Abstract
Web pages contain information in several forms. These include textual information such as words and visual information such as images, use of color, and layout. We propose a method of extracting the characteristic features from both the textual and visual information in Web pages. Our method enables seamless integration of the two types of information and automatic extraction of their characteristic features. Based on this method, we developed a proof-of-concept system called Robin, which is designed to provide users with an intuitive way of browsing search engine results. The results of an experimental evaluation of the system showed that it has the potential to be practical and effective.
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© 2006 Springer-Verlag Berlin Heidelberg
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Oka, M., Tsukada, H., Kato, K. (2006). Robin: Extracting Visual and Textual Features from Web Pages. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds) Frontiers of WWW Research and Development - APWeb 2006. APWeb 2006. Lecture Notes in Computer Science, vol 3841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610113_71
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DOI: https://doi.org/10.1007/11610113_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31142-3
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