Extraction and analysis of knowledge worker activities on intranet

Authors:
Peter Géczy;Noriaki Izumi;Shotaro Akaho;Kôiti Hasida
Affiliations:
National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba and Tokyo, Japan;National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba and Tokyo, Japan;National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba and Tokyo, Japan;National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba and Tokyo, Japan
Venue:
PAKM'06 Proceedings of the 6th international conference on Practical Aspects of Knowledge Management
Year:
2006

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Abstract

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.