Acquiring innovation knowledge

  • Authors:

  • Peter Busch;Debbie Richards

  • Affiliations:

  • Computing Department, Division of Information and Communication Sciences, Macquarie University, Australia;Computing Department, Division of Information and Communication Sciences, Macquarie University, Australia

  • Venue:
  • PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
  • Year:
  • 2006

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Abstract

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.