Extracting Topic Maps from Web Histories by Clustering with Web Structure and Contents

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2006 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops

Hong Kong, China

December 18-December 22

ISBN: 0-7695-2749-3

	ASCII Text	x
	Motohiro Mase, Seiji Yamada, "Extracting Topic Maps from Web Histories by Clustering with Web Structure and Contents," Web Intelligence and Intelligent Agent Technology, International Conference on, pp. 405-408, 2006 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, 2006.

	BibTex	x
	@article{ 10.1109/WI-IATW.2006.71, author = {Motohiro Mase and Seiji Yamada}, title = {Extracting Topic Maps from Web Histories by Clustering with Web Structure and Contents}, journal ={Web Intelligence and Intelligent Agent Technology, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2749-3}, pages = {405-408}, doi = {http://doi.ieeecomputersociety.org/10.1109/WI-IATW.2006.71}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Web Intelligence and Intelligent Agent Technology, International Conference on TI - Extracting Topic Maps from Web Histories by Clustering with Web Structure and Contents SN - 0-7695-2749-3 SP405 EP408 A1 - Motohiro Mase, A1 - Seiji Yamada, PY - 2006 KW - null VL - 0 JA - Web Intelligence and Intelligent Agent Technology, International Conference on ER -

Motohiro Mase, Tokyo Institute of Technology, Japan

Seiji Yamada, National Institute of Informatics, Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI-IATW.2006.71

In this paper, we propose a clustering method to extract Topic Maps from the Web browsing history. We improve the structure-based hierarchical clustering method using the contents similarity of the pages and the weight by the types of links and the hierarchical difference of the directories in which the pages are located. The topic maps show the topics that user has seen or not in Web browsing and the relationships between the topics. Using the Web browsing history, we experimentally extract the topic map and evaluate it.

Citation:

Motohiro Mase, Seiji Yamada, "Extracting Topic Maps from Web Histories by Clustering with Web Structure and Contents," wi-iatw, pp.405-408, 2006 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, 2006

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