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Title: An SAO-based approach to technology evolution analysis using patent information: Case study—graphene sensors
Author: Hu, ZhengYin(胡正银)1; Shu Fang(方曙)1; WEI Ling1,2,3; Wen, Yi(文奕)1; Zhang, Xian(张娴)1,2; WANG Min4
Source: Chinese Journal of Library and Information Science
Issued Date: 2015-09-27
Volume: 8, Issue:3, Pages:62-75
Keyword: Technology evolution ; Patent analysis ; SAO ; Feature dimension reduction
Subject: 新闻学与传播学 ; 图书馆、情报与文献学
Indexed Type: 其他
Corresponding Author: Zhengyin Hu (E-mail: huzy@clas.ac.cn).
DOC Type: Research Papers
Abstract:
Purpose: This paper introduces an approach to technology evolution analysis using patent information based on Subject-Action-Object (SAO) structures.

Design/methodology/approach: First, SAO structures were extracted from patent documents and were cleaned. Second, several dimension-reduction techniques were used to generate technology topics. Then, the hierarchical relationships between technology topics were calculated based on patent clustering. Finally, technology evolution maps were drawn by adding a timeline.

Findings: This approach can reveal technology evolution processes from multiple perspectives than other approaches.

Research limitations: The semantic annotation of an SAO type is not very accurate and the semantic types of technology topics need to be enriched.

Practical implications: The approach can be applied to draw technology evolution maps using different types of technology topics such as problem or solution.

Originality/value: This approach offers an analytical dimension and more details than existing techniques, and it helps identify fundamental and emerging technologies more accurately and comprehensively.
English Abstract:
Purpose: This paper introduces an approach to technology evolution analysis using patent information based on Subject-Action-Object (SAO) structures.

Design/methodology/approach: First, SAO structures were extracted from patent documents and were cleaned. Second, several dimension-reduction techniques were used to generate technology topics. Then, the hierarchical relationships between technology topics were calculated based on patent clustering. Finally, technology evolution maps were drawn by adding a timeline.

Findings: This approach can reveal technology evolution processes from multiple perspectives than other approaches.

Research limitations: The semantic annotation of an SAO type is not very accurate and the semantic types of technology topics need to be enriched.

Practical implications: The approach can be applied to draw technology evolution maps using different types of technology topics such as problem or solution.

Originality/value: This approach offers an analytical dimension and more details than existing techniques, and it helps identify fundamental and emerging technologies more accurately and comprehensively.
Funder: Dai LV of Sichuan University, and Associate Prof. ; Hongshen PANG of Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences.
Related URLs: 查看原文
Language: 英语
Content Type: 期刊论文
URI: http://ir.las.ac.cn/handle/12502/8275
Appears in Collections:Chinese Journal of Library and Information Science-2015_期刊论文

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description.institution: 1.Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu 610041, China
2.University of the Chinese Academy of Sciences, Beijing 100049, China
3.Department of Information Management, Shanxi University of Finance & Economics, Taiyuan 030006, China
4.Institute of Electronics, Chinese Academy of Sciences, Beijing 100049, China

Recommended Citation:
HU Zhengyin,FANG Shu,WEI Ling,et al. An SAO-based approach to technology evolution analysis using patent information: Case study—graphene sensors[J]. Chinese Journal of Library and Information Science,2015,8(3):62-75.
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