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Using a text mining tool for patent analyses

Development of a new method for the repairing of gas turbines
 
: Wich, Yvonne; Warschat, Joachim; Spath, Dieter; Ardilio, Antonino; König-Urban, Kamilla; Uhlmann, Eckart

Portland International Center for Management of Engineering and Technology -PICMET-; Institute of Electrical and Electronics Engineers -IEEE-:
PICMET 2013, Portland International Conference on Management of Engineering and Technology. Technology Management in the IT-Driven Services. Proceedings. CD-ROM : July 28 - August 1, 2013 San Jose, California, USA
Piscataway, NJ: IEEE, 2013
ISBN: 1-890843-28-8
ISBN: 978-1-890843-27-4
S.1010-1016
Portland International Conference on Management of Engineering and Technology (PICMET) <2013, San Jose/Calif.>
Englisch
Konferenzbeitrag
Fraunhofer IAO ()
Fraunhofer IPK ()

Abstract
The content analysis of hundreds of patents during early phases of R&D processes is still complex and time consuming. Many companies avoid the analysis of patents and are not aware of the huge knowledge that might be useful for their own R&D. Therefore Fraunhofer IAO developed a method for a software-based patent analysis, the so called White Spot Analysis. Core element of this analysis is the usage of a textmining solution for the analysis of patents, especially for the analysis of problems and solutions provided by patents.
This paper demonstrates the result of a White Spot Analysis: The practical example deals with the development of a new method for the repairing of gas urbines, especially the repairing of high pressure turbine blades. It is shown how the developed text-mining solution assisted the patent analysis and the idea generation process.

: http://publica.fraunhofer.de/dokumente/N-275265.html