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Book Chapter
Personalized Web Knowledge Management
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 2198/2001
Book
Web Intelligence: Research and Development
DOI
10.1007/3-540-45490-X
Copyright
2001
ISBN
978-3-540-42730-8
DOI
10.1007/3-540-45490-X_24
Pages
200-204
Subject Collection
Computer Science
SpringerLink Date
Monday, January 01, 2001
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Personalized Web Knowledge Management
Koichi Takeda
5
and Hiroshi Nomiyama
5
(5)
Tokyo Research Laboratory, IBM Research, 1623-14 Shimotsuruma, Yamato, Kanagawa 242-8502, Japan
Abstract
In this paper, we propose a novel approach for personalized Web Knowledge management by incorporating dynamic (e.g., news article) and static (e.g.,technical papers) Web contents. We can integrate these two types of information by using intelligent crawling and meta-data creation and provide a visual interface to personalize and navigate through the tailored information to an individual user.
Koichi
Takeda
Email:
takeda@trl.ibm.oc.jp
URL:
http://www.trl.ibm.com/projects/s7710/dl/index_e.htm
Hiroshi
Nomiyama
Email:
nomiyama@trl.ibm.oc.jp
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