Acquiring Innovation Knowledge

  • Peter Busch
  • Debbie Richards
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4303)


There are few possibilities for acquiring knowledge related to innovation. Firstly, acquiring knowledge using machine learning typically requires structured and classified data and/or cases, and lots of them. Secondly, manual acquisition of knowledge requires human expertise. Both approaches seem impractical when it comes to innovation knowledge. While innovation is recognized as a vital part of sustainability within organizations, there is little assistance with how we can acquire, reuse or share the innovation knowledge that may exist. We suggest a technique and present preliminary results of an evaluation study using this approach.


Innovation knowledge knowledge acquisition 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Peter Busch
    • 1
  • Debbie Richards
    • 1
  1. 1.Computing Department, Division of Information and Communication SciencesMacquarie UniversityAustralia

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