中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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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