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
Link To Document :
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