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Aspect Discovery: Web Contents Characterization by Their Referential Contexts

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Advanced Web Technologies and Applications (APWeb 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3007))

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Abstract

A web page is referred to by other pages through links in various contexts, and these contexts indicate the “customer’s viewpoint” for the page. The references are called “aspects” of a web page, as distinguished from the content of the page. In this paper, we propose an approach for discovering aspects to characterize web pages based on their referential context. Based on the logical structure of the web (i.e., the web document structure and link structure), our approach discovers the appropriate range of surrounding contents and assigns them as the context of the web page. The aspects of the web page are discovered by clustering multiple contexts so that each aspect represents a “typical reference” to the page. The aspect can be used to strengthen the usability and credibility of a web page.

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© 2004 Springer-Verlag Berlin Heidelberg

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Zettsu, K., Kidawara, Y., Tanaka, K. (2004). Aspect Discovery: Web Contents Characterization by Their Referential Contexts. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds) Advanced Web Technologies and Applications. APWeb 2004. Lecture Notes in Computer Science, vol 3007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24655-8_80

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  • DOI: https://doi.org/10.1007/978-3-540-24655-8_80

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21371-0

  • Online ISBN: 978-3-540-24655-8

  • eBook Packages: Springer Book Archive

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