Journal of Guangdong University of Technology ›› 2019, Vol. 36 ›› Issue (02): 26-30,36.doi: 10.12052/gdutxb.180079

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A Functional Model of Patent Knowledge Based on Functional Ontology

Chen Xiao-jing, Cheng Si-yuan, Yang Xue-rong, Zhang Xiang-wei   

  1. School of Electromechanics Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2018-05-18 Online:2019-03-15 Published:2019-01-21

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Abstract: In recent years, the domestic number of patents has maintained a rapid growth. There are a lot of design ideas in the patent text, and the extraction of the patent product design knowledge can also inspire designers to innovate and invent. With the concept of functional ontology proposed as a method and knowledge of patent text extracted to obtain the knowledge of the patent product structure, function and effect, a function analysis is carried out to obtain the total functions, divided functions, subfunctions and corresponding structural components. Then a model of the functional structure of patent knowledge is established. The functional structure model of patent knowledge shows the corresponding relationship between the function and structure of the patent products. By revealing the original design intent, it may help those who want to creatively redesign this product.

Key words: patent text, knowledge extraction, functional ontology, functional analysis, function-structure model

CLC Number: 

  • G306.0
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