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Study on Personalized Semantic TRIZ
Received date: 2015-01-30
Revised date: 2015-03-20
Online published: 2015-04-05
[Purpose/significance] This paper proposes a personalized semantic TRIZ framework oriented to specific domain patents, which helps to mine latent information and build semantic association from patent documents. [Method/process] This framework constructs semantic TRIZ from three dimensions of concept space, index space and application space. It describes the structure of semantic TRIZ based on micro-meso-macro levels, which include SAO semantic unit, technology topics and technology domains. We select the field of large aperture optical elements for empirical analysis and construct the LAOE semantic TRIZ. [Result/conclusion] The result shows that this novel method can effectively construct semantic TRIZ and better support patent tech mining.
Key words： semantic TRIZ; patent analysis; semantic mapping; feature deduction
Hu Zhengyin , Fang Shu , Zhang Xian , Wen Yi , Liang Tian . Study on Personalized Semantic TRIZ[J]. Library and Information Service, 2015 , 59(7) : 123 -131 . DOI: 10.13266/j.issn.0252-3116.2015.07.017
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