Authors: Gaetano Cascini, Davide Russo
Addresses: Universita degli Studi di Firenze, Dip. di Meccanica e Tecnologie Ind.li, via S. Marta, 3–50139 Firenze, Italy. ' Universita degli Studi di Firenze, Dip. di Meccanica e Tecnologie Ind.li, via S. Marta, 3–50139 Firenze, Italy
Abstract: TRIZ, the Soviet-initiated Theory of Inventive Problem Solving, is gaining acknowledgement both as a systematic methodology for innovation and a powerful tool for technology forecasting. Nevertheless, the analysis of patents necessary for gathering the data to be used for the previsional activity is very cumbersome and sometimes unworthy due to the intrinsic low reliability of forecasting tasks. With this perspective it is necessary to speed up the identification of the technical/physical conflict(s) overcome by an invention, according to its textual description. Although text-mining tools have reached relevant capabilities for extracting useful information from huge sets of documents, no specific means are available to support the analysis of patents with the aim of identifying the contradiction underlying a given technical system. This paper proposes a computer-aided approach for accomplishing such a task: the algorithm is described and validated by means of practical examples.
Keywords: text mining; patents analysis; TRIZ; contradictions analysis; technology forecasting; product development; inventive problem solving; innovation; computer-aided analysis.
International Journal of Product Development, 2007 Vol.4 No.1/2, pp.52 - 67
Published online: 01 Dec 2006 *Full-text access for editors Access for subscribers Purchase this article Comment on this article