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Conference Papers Year : 2021

Extraction and Modeling of Chinese Patent Information for Technical Advancement Evaluation

Abstract

In order to achieve the output of high-value patents, enterprises need to consider improving the technical level of the technical solution itself. At this point, it is necessary to compare the technical scheme with the existing patented technology to determine the advanced degree of the technical scheme. The ideal level is the ratio of the useful function to the harmful function in the technical solution, which can be used to describe the current technical level of the technical solution. In this study, idealization level is used to evaluate the gap between technology and existing patented technology. The patent information is different from the technical solution with complete information, and the existing technology described in the patent has a specific form of expression. Therefore, the main task is to evaluate the idealization level of the existing technology. It mainly includes three stages: shallow information analysis, deep information analysis and information reasoning and calculation. Automatic extraction of Chinese patent information is the basis for evaluating the technical advancement. This paper introduces in detail the automatic establishment process of component hierarchy model (CHM) and action and attribute model (AAM) of Chinese patent in the process of deep information analysis. The feasibility of the proposed method is verified by the analysis of shallow and deep information of electric toothbrush.
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hal-04067825 , version 1 (13-04-2023)

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Yin-Di Sun, Guo-Zhong Cao, Chang Gao, Wen-Dan Yang, Wei-Pei Han, et al.. Extraction and Modeling of Chinese Patent Information for Technical Advancement Evaluation. TRIZ Future conference, Sep 2021, Bolzano, Italy. pp.127-140, ⟨10.1007/978-3-030-86614-3_10⟩. ⟨hal-04067825⟩
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