Incremental Knowledge Management of Web Community Groups on Web Portals

  • Yang Sok Kim
  • Sung Sik Park
  • Byeong Ho Kang
  • Young Ju Choi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3336)


The concept of the web portal was introduced in around 1998 when the web became a standard medium for accessing information. While HTML-based static web pages were also popular, people used the search engine websites, or specific web pages, such as the personal web page or the web browser company default page, as their web portals. Since their inception, providing information for users has been the most important function of web portals, and many of them try to provide adapted information to different users. Offering this level of service is difficult because of the quantity of information and the various types of information classification for different user groups involved. In most web portals, the collection and classification of the information is still carried out manually. Automation of this task requires domain-specific classification knowledge, which is not easy to acquire. Automated web information management and publication system has been developed using the Multiple Classification Ripple Down Rules (MCRDR) knowledge acquisition engine. Various prototype web portals are being developed and the evaluation study proves the potential of the out-of-box style web portal generation tool for the adapted service.


Knowledge Management Knowledge Acquisition Knowledge Management System Content Aggregation Refining Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Yang Sok Kim
    • 1
  • Sung Sik Park
    • 1
  • Byeong Ho Kang
    • 1
  • Young Ju Choi
    • 1
  1. 1.School of ComputingUniversity of TasmaniaHobart, TasmaniaAustralia

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