Web page classification based on structural equivalence

Nagayoshi Yamashita, Koichi Moriyama, Masayuki Numao, Satoshi Kurihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a methodology for classifying web pages using link analysis based on structural equivalence that makes it easier to find information on the web. Two nodes in a network are structurally equivalent if they have the same relationships to all the other nodes. Assuming that pages that have similar link relationships also have similar content, our method classifies web pages and then specifies their related parts by defining a hub page. A preliminary experiment shows that classification based on structural similarity of web pages is effective.

Original languageEnglish
Title of host publication5th International Conference on Information Technology and Applications, ICITA 2008
Pages472-477
Number of pages6
Publication statusPublished - 2008 Dec 1
Externally publishedYes
Event5th International Conference on Information Technology and Applications, ICITA 2008 - Cairns, QLD, Australia
Duration: 2008 Jun 232008 Jun 26

Publication series

Name5th International Conference on Information Technology and Applications, ICITA 2008

Other

Other5th International Conference on Information Technology and Applications, ICITA 2008
CountryAustralia
CityCairns, QLD
Period08/6/2308/6/26

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Keywords

  • Information retrieval
  • Social network
  • Web mining

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Software

Cite this

Yamashita, N., Moriyama, K., Numao, M., & Kurihara, S. (2008). Web page classification based on structural equivalence. In 5th International Conference on Information Technology and Applications, ICITA 2008 (pp. 472-477). (5th International Conference on Information Technology and Applications, ICITA 2008).