Discovery of Technology Synergies through Collective Wisdom

Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences(2009)

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摘要
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.
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关键词
intelligent agent,automation,mining industry,text mining,corporate strategy,synergy,business,similarity,semantics,scattering,control group,computer science,semantic similarity
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