Title: Latent semantic extraction and analysis for TRIZ-based inventive design

Authors: Wei Yan; Hong Liu; Yusheng Liu; Jihua Wang; Cecilia Zanni-Merk; Denis Cavallucci; Xiaodan Yan; Liang Zhang

Addresses: School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China; Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology, Jinan 250014, China ' School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China; Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology, Jinan 250014, China ' State Key Lab. of CAD&CG, Zhejiang University, Hangzhou 310027, China ' School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China; Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology, Jinan 250014, China ' LITIS, INSA Rouen, Normandie Université, Rouen 76000, France ' ICUBE/CSIP-UMR7357, INSA Strasbourg, 24 Boulevard de la Victoire, Strasbourg 67084, France ' School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China ' School of Physics; Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Jinan 250100, China

Abstract: During the development of TRIZ, several knowledge sources have been developed to solve inventive problems. Even though they are about close notions, the level of detail of the descriptions is very dissimilar, making it difficult for the user to operate with them in a systematic way. To cope with this difficulty, we are interested in finding semantic links among these sources, with the goal of assisting the inventive design expert during his activities. Taking into account that all the TRIZ knowledge sources are represented as short texts and directly applying conventional topic models on such short texts may not work well, an extended latent semantic analysis model is proposed to find the missing links among the TRIZ knowledge sources. With the help of these obtained links, several heuristic abstract solutions can be obtained. In order to show this whole process, the resolution of the case of the 'Auguste Piccard's Stratostat' is elaborated in detail. [Received: 11 March 2017; Revised: 21 November 2017; Accepted 30 March 2018]

Keywords: theory of inventive problem solving; TRIZ; knowledge sources; latent semantic analysis; LSA; semantic weight; term-item semantic matrix; TISM.

DOI: 10.1504/EJIE.2018.094593

European Journal of Industrial Engineering, 2018 Vol.12 No.5, pp.661 - 681

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 28 Aug 2018 *

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