An SAO-based text-mining approach for technology roadmapping using patent information

2012 ◽  
Vol 43 (1) ◽  
pp. 52-74 ◽  
Author(s):  
Sungchul Choi ◽  
Hongbin Kim ◽  
Janghyeok Yoon ◽  
Kwangsoo Kim ◽  
Jae Yeol Lee
2014 ◽  
Vol 18 (03) ◽  
pp. 1440004 ◽  
Author(s):  
VICTORIA KAYSER ◽  
KERSTIN GOLUCHOWICZ ◽  
ANTJE BIERWISCH

Technology roadmapping is a well-established method used in strategy development to map alternative future paths, while text mining offers untapped potentials concerning early detection and environmental scanning. In this paper, the roadmapping process is split into different steps in order to analyse which text mining methods could add further value within each. This leads to a two-layered process model, which includes text mining techniques to systematically integrate external information in ongoing roadmapping processes. Textual data can be used for a structured analysis and exploration of thematic fields and an objective, quantitative summary of actual developments. To demonstrate some of the benefits, the field of "cloud computing" is used to illustrate the procedure. As this article will show, the results provided by this approach extend the existing methodology, integrates an external view and complements expert opinion.


2007 ◽  
Vol 38 (1) ◽  
pp. 51-68 ◽  
Author(s):  
Byungun Yoon ◽  
Rob Phaal ◽  
David Probert

2011 ◽  
Vol 38 (4) ◽  
pp. 2933-2941 ◽  
Author(s):  
Hyeonju Seol ◽  
Sungjoo Lee ◽  
Chulhyun Kim

2008 ◽  
Vol 38 (2) ◽  
pp. 169-188 ◽  
Author(s):  
Sungjoo Lee ◽  
Seonghoon Lee ◽  
Hyeonju Seol ◽  
Yongtae Park

Author(s):  
Sercan Ozcan ◽  
Amir Homayounfard ◽  
Christopher Simms ◽  
Jahangir Wasim

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