An SAO-based approach to technology evolution analysis using patent information: Case study—graphene

• 作 者: Zhengyin HU Shu FANG Ling WEI Yi WEN Xian ZHANG Min WANG
• 机 构: Chengdu Documentation and Information Center, Chinese Academy of Sciences,University of the Chinese
• 出 处: Chinese Journal of Library and Information Science
• 发表日期: 2015年03期
• 关键词: patent semantic hierarchical clustering enriched details adding nanotube annotat

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.

Purpose: This paper introduces an approach to technology evolution analysis using patent information based on Subject-Action-Object (SAO) structures. Design / methodology / appach: 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 an d more details than existing techniques, and it helps identify fundamental and emerging technologies more accurately and comprehensively.