Webpage Segments Classification with Incremental Knowledge Acquisition

  • Wei Guo
  • Yang Sok Kim
  • Byeong Ho Kang
Part of the Communications in Computer and Information Science book series (CCIS, volume 124)

Abstract

This paper suggests an incremental information extraction method for social network analysis of web publications. For this purpose, we employed an incremental knowledge acquisition method, called MCRDR (Multiple Classification Ripple-Down Rules), to classify web page segments. Our experimental results show that our MCRDR-based web page segments classification system successfully supports easy acquisition and maintenance of information extraction rules.

Keywords

Information extraction social networks knowledge acquisition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Wei Guo
    • 1
  • Yang Sok Kim
    • 2
  • Byeong Ho Kang
    • 1
  1. 1.University of TasmaniaSandy BayAustralia
  2. 2.University of New South WalesSydneyAustralia

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