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2013 15th IEEE International Symposium on Web Systems Evolution (WSE) (2003)
Amsterdam, The Netherlands
Sept. 22, 2003 to Sept. 22, 2003
ISBN: 0-7695-2016-2
pp: 41
Emanuele Pianta , ITC-irst
Filippo Ricca , ITC-irst
Paolo Tonella , ITC-irst
ABSTRACT
Reverse engineering techniques have the potential to support Web site understanding, by providing views that show the organization of a site and its navigational structure. However, representing each Web page as a node in the diagrams that are recovered from the source code of a Web site leads often to huge and unreadable graphs. Moreover, since the level of connectivity is typically high, the edges in such graphs make the overall result still less usable.<div></div> Clustering can be used to produce cohesive groups of pages that are displayed as a single node in reverse engineered diagrams. In this paper, we propose a clustering method based on the automatic extraction of the keywords of a Web page. The presence of common keywords is exploited to decide when it is appropriate to group pages together. A second usage of the keywords is in the automatic labeling of the recovered clusters of pages.
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CITATION
Christian Girardi, Emanuele Pianta, Filippo Ricca, Paolo Tonella, "Using Keyword Extraction for Web Site Clustering", 2013 15th IEEE International Symposium on Web Systems Evolution (WSE), vol. 00, no. , pp. 41, 2003, doi:10.1109/WSE.2003.1234007
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