Extraction and Analysis of Knowledge Worker Activities on Intranet

  • Peter Géczy
  • Noriaki Izumi
  • Shotaro Akaho
  • Kôiti Hasida
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4333)


Knowledge regarding user browsing behavior on corporate Intranet may shed light on general behavioral principles of users in Intranet spaces, and assist organizations in making more informed decisions involving management, design, and use policies of Intranet resources. The study examines extraction and analysis of knowledge worker browsing behavior from WEB log data. Extraction of navigational primitives enabled us to identify common behavioral features of knowledge workers. Knowledge workers had a significant tendency to form behavioral patterns that were frequently repeated in Intranet environment. As they familiarized with the environment their navigation habituated.


Knowledge Worker Average Session Large Data Volume Page Transition Unique Subsequence 
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 2006

Authors and Affiliations

  • Peter Géczy
    • 1
  • Noriaki Izumi
    • 1
  • Shotaro Akaho
    • 1
  • Kôiti Hasida
    • 1
  1. 1.National Institute of Advanced Industrial Science and Technology (AIST)Tsukuba and TokyoJapan

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