Personalized Web Knowledge Management

Authors:
Koichi Takeda;Hiroshi Nomiyama
Affiliations:
-;-
Venue:
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Year:
2001

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Abstract

In this paper, we propose a novel approach for personalized Web knowledge management by incorporating dynamic (e.g., news articles) and static (e.g., technical papers) Web contents. We can integrate these two types of information by using intelligent crawling and metadata creation and provide a visual interface to personalize and navigate through the tailored information to an individual user.