Abstract
The Web can be regarded as a huge graph when each Web page is regarded as a node and each hyperlink as an edge. There are several attempts for visualizing the structure of the Web, such as touchgraph or KartOO. In order to achieve visualization that assists users’ information acquisition from the Web, two constructs (keywords and pages) are required in the visualization. In this paper, a cluster of keywords and Web pages is regarded as “structural information” in the Web. We have developed a visualization system that shows clusters of Web pages and keywords. Based on online Web resources, appropriate relations can be visualized without analyzing the contents of Web pages.
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Murata, T. (2005). Extraction of Structural Information from the Web. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_159
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DOI: https://doi.org/10.1007/11540007_159
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28331-7
Online ISBN: 978-3-540-31828-6
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