Identifying emerging topics in a technological domain
文献类型:期刊论文
作者 | Zhang, Shengtai; Han F(韩芳)![]() |
刊名 | Journal of Intelligent & Fuzzy Systems
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出版日期 | 2016 |
期号 | 31页码:2147-2157 |
关键词 | Technological Domain Patent Emerging Topics Direct Citation Model Genetic Model |
英文摘要 | Identifying emerging technological topics is of great interest to decision makers, but identifying such technologies usually has two problems. First, an overwhelming amount of information is given to researchers on many subjects. Second, the effect of the topics is usually ignored. This paper describes a new overlap method for locating emerging topics in a specifific technology domain. Two models of technological patents, namely, those based on the direct citation and genetic approaches, were combined to identify new and persistent clusters. The method was then applied to the technological domain of solar photovoltaic. Fifteen emerging topics were identifified for the period 1980–2010, and these topics were evaluated by the history of innovation and development of solar cells. These topics were characterized in various ways to understand the motive forces behind their emergence. Results indicated that the methodology could be a useful tool for identifying emerging technological topics. |
语种 | 英语 |
源URL | [http://ir.las.ac.cn/handle/12502/11048] ![]() |
专题 | 中国科学院文献情报中心(北京)_知识技术研发中心 |
通讯作者 | Zhang, Shengtai |
作者单位 | 北京邮电大学经济管理学院 |
推荐引用方式 GB/T 7714 | Zhang, Shengtai,Han F. Identifying emerging topics in a technological domain[J]. Journal of Intelligent & Fuzzy Systems,2016(31):2147-2157. |
APA | Zhang, Shengtai,&Han F.(2016).Identifying emerging topics in a technological domain.Journal of Intelligent & Fuzzy Systems(31),2147-2157. |
MLA | Zhang, Shengtai,et al."Identifying emerging topics in a technological domain".Journal of Intelligent & Fuzzy Systems .31(2016):2147-2157. |
入库方式: OAI收割
来源:文献情报中心
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