Title :
Patent analysis with text mining for TRIZ
Author :
Liang, Yanhong ; Tan, Runhua ; Ma, Jianhong
Author_Institution :
Inst. of Design for Innovation, Hebei Univ. of Technol., Tianjin
Abstract :
Patent is an important knowledge source for industrial research and product development on account of its innovation and practicability. In TRIZ theory, a product design problem can be considered as one or more Contradictions. But the Contradictions and corresponding Inventive Principles are rather abstract and general. It will be more helpful for innovators to solve the problem if they obtain related examples from published patents that have solved the Contradictions. In order to search the relevant patents according to Contradictions and Inventive Principles automatically, text mining is used to analyze patent documents. In this paper, a computer-aided methodology to classify patents according to Contradictions and Inventive Principles is proposed.
Keywords :
data mining; patents; product development; research and development; TRIZ theory; inventive principle; patent analysis; product design problem; product development; text mining; Best practices; Data mining; Educational programs; Information analysis; Innovation management; Problem-solving; Product design; Product development; Technological innovation; Text mining; Contradiction; Inventive Principle; TRIZ; patent analysis; text mining;
Conference_Titel :
Management of Innovation and Technology, 2008. ICMIT 2008. 4th IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-2329-3
Electronic_ISBN :
978-1-4244-2330-9
DOI :
10.1109/ICMIT.2008.4654531
