• DocumentCode
    1840085
  • Title

    Discovery of Technology Synergies through Collective Wisdom

  • Author

    Ziegler, Cai-Nicolas ; Viermetz, Maximilian

  • Volume
    1
  • fYear
    2009
  • fDate
    15-18 Sept. 2009
  • Firstpage
    701
  • Lastpage
    706
  • Abstract
    Spotting and quantifying technological synergies across organizational levels is of utter importance for corporate strategy departments. These efforts aim at saving resources by consolidating scattered expertise and by reusing technologies across multiple product lines. In the past, this task has been done in a manual process by domain experts. While feasible, the major drawback lies in the enormous cost of time: For a structured and complete analysis every combination of any two technologies has to be assessed. We present an approach that discovers those synergies in an automated fashion, using collective wisdom from the Web. Our method has been deployed for the synergy evaluation process within Siemens. We have also conducted evaluations based on randomly selected technology pairs so as to benchmark the accuracy of our approach, as compared to a group of general computer science technologists as well as a control group of domain experts.
  • Keywords
    Automation; Business; Computer science; Conferences; Costs; Ear; Intelligent agent; Mining industry; Scattering; Text mining; semantics; similarity; synergy; text mining;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
  • Conference_Location
    Milan, Italy
  • Print_ISBN
    978-0-7695-3801-3
  • Electronic_ISBN
    978-1-4244-5331-3
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2009.118
  • Filename
    5284894