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Semantic innovation management across the extended enterprise

Author

Listed:
  • Ke Ning
  • David O'Sullivan
  • Qinxiang Zhu
  • Stefan Decker

Abstract

Innovation provides the means for enterprises to survive and grow. Due to the distributed and heterogeneous characteristics, it's difficult to manage innovation across the extended enterprise. A novel vision for Semantic Innovation Management (SIM) is introduced. The system architecture combines ontology, inference and mediation technologies used to create a semantic web of innovation knowledge. A functional framework of the SIM System (SIMS) based on metadata harvesting and RDF access technologies is presented. An applied case study is explained in detail. This, in turn, facilitates all participating organisations and users in forming closer alliances based on the sharing of innovation information.

Suggested Citation

  • Ke Ning & David O'Sullivan & Qinxiang Zhu & Stefan Decker, 2006. "Semantic innovation management across the extended enterprise," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 1(1/2), pages 109-128.
    • Handle: RePEc:ids:ijisen:v:1:y:2006:i:1/2:p:109-128
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    Cited by:

    1. Wei Nie & Katharina Vita & Tariq Masood, 2024. "An ontology for defining and characterizing demonstration environments," Journal of Intelligent Manufacturing, Springer, vol. 35(7), pages 3501-3521, October.

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