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- W2807731446 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]" @default.
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- W2807731446 date "2018-01-01" @default.
- W2807731446 modified "2023-09-24" @default.
- W2807731446 title "Latent semantic extraction and analysis for TRIZ-based inventive design" @default.
- W2807731446 doi "https://doi.org/10.1504/ejie.2018.094593" @default.
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