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