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Mining innovative ideas to support new product research and development

 
: Thorleuchter, D.; Poel, D. van den; Prinzie, A.

:
Postprint urn:nbn:de:0011-n-1414323 (353 KByte PDF)
MD5 Fingerprint: 6bb75b1afff8017ca13c8af01f5621e9
The original publication is available at springerlink.com
Erstellt am: 17.6.2011


Locarek-Junge, H. ; International Federation of Classification Societies -IFCS-; Gesellschaft für Klassifikation:
Classification as a tool for research. 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft fur Klassifikation e.V. 2009. Proceedings : Dresden, March 13-18, 2009
Berlin: Springer, 2010 (Studies in classification, data analysis, and knowledge organization 3)
ISBN: 978-3-642-10744-3
ISBN: 3-642-10744-3
ISBN: 978-3-642-10745-0
S.587-594
International Federation of Classification Societies (IFCS Conference) <11, 2009, Dresden>
Gesellschaft für Klassifikation (GfKl Conference) <33, 2009, Dresden>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer INT ()
innovation; text mining; Technologie; Klassifikation; Innovation; technology; classification

Abstract
Here, we present an approach for automatically identifying the innovative potential of new technological ideas extracted from textual information. The starting point of each innovation is a good and new idea. Unfortunately, a high percentage of innovations fail, which means many ideas do not have the potential to become an innovation in future. The innovation process from a new idea as starting point via research, development, and production activities through to an innovative product is very cost- and time-consuming. Therefore, the aim of our work is to identify the innovative potential of new technological ideas to improve the performance of the innovation process. We extract new technological ideas from provided textual information. We also identify innovative technology fields by analysing relationships among technologies. All identified ideas are assigned to innovative technology fields by using text mining and text classification methods. Technological ideas in these fields are presented to the user as innovative ideas and might be used as starting point for new product research and development divisions.

 

Here, we present an approach for automatically identifying the innovative potential of new technological ideas extracted from textual information. The starting point of each innovation is a good and new idea. Unfortunately, a high percentage of innovations fail, which means many ideas do not have the potential to become an innovation in future. The innovation process from a new idea as starting point via research, development, and production activities through to an innovative product is very cost- and time-consuming. Therefore, the aim of our work is to identify the innovative potential of new technological ideas to improve the performance of the innovation process. We extract new technological ideas from provided textual information. We also identify innovative technology fields by analysing relationships among technologies. All identified ideas are assigned to innovative technology fields by using text mining and text classification methods. Technological ideas in these fields are presented to the user as innovative ideas and might be used as starting point for new product research and development divisions.

: http://publica.fraunhofer.de/dokumente/N-141432.html