An Automatic Web Page Classification System Using Meta-Tag 


Vol. 38,  No. 4, pp. 291-297, Apr.  2013


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  Abstract

Recently, the amount of web pages, which include various information, has been drastically increased according to the explosive increase of WWW usage. Therefore, the need for web page classification arose in order to make it easier to access web pages and to make it possible to search the web pages through the grouping. Web page classification means the classification of various web pages that are scattered on the web according to the similarity of documents or the keywords contained in the documents. Web page classification method can be applied to various areas such as web page searching, group searching and e-mail filtering. However, it is impossible to handle the tremendous amount of web pages on the web by using the manual classification. Also, the automatic web page classification has the accuracy problem in that it fails to distinguish the different web pages written in different forms without classification errors. In this paper, we propose the automatic web page classification system using meta-tag that can be obtained from the web pages in order to solve the inaccurate web page retrieval problem.

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  Cite this article

[IEEE Style]

S. Kim and H. Kim, "An Automatic Web Page Classification System Using Meta-Tag," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 4, pp. 291-297, 2013. DOI: .

[ACM Style]

Sang-il Kim and Hwa-sung Kim. 2013. An Automatic Web Page Classification System Using Meta-Tag. The Journal of Korean Institute of Communications and Information Sciences, 38, 4, (2013), 291-297. DOI: .

[KICS Style]

Sang-il Kim and Hwa-sung Kim, "An Automatic Web Page Classification System Using Meta-Tag," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 4, pp. 291-297, 4. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880