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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (1): 16-25    DOI: 10.11925/infotech.2096-3467.2017.01.03
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Integrated Analysis and Visualization of Sci-Tech Roadmaps: Case Study of Renewable Energy
Xie Xiufang1,2(), Zhang Xiaolin1
1National Science Library, Chinese Academy of Sciences, Beijing 100190, China
2School of Health Management and Education, Capital Medical University/Library of Capital Medical University,Beijing 100069, China
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Abstract  

[Objective]This study aims to predict the development trends of science and technology (S&T) with knowledge extracted from S&T roadmaps (STR). [Methods] First, we constructed an STR information database based on the “extraction - synchronization - classification” method of text mining. Second, we analysed the demands and trends of global S&T progress. Finally, we compared and analyzed different countries’ S&T strategies in the field of renewable energy. [Results] We used open source tools, such as Timeflow, Gephi to visualize the results of this case study, such as the globle development trends and national strategic planning in the field of renewable energy by 2050. [Limitations] The automation and personalization features of this study need to be improved. [Conclusions] The proposed method could retrieve strategic intelligence from the STRs effectively.

Key wordsScience and Technology Roadmap      Strategic Intelligence      Text Mining      Knowledge Discovery      Integrated Analysis      Information Visualization     
Received: 30 September 2016      Published: 22 February 2017
ZTFLH:  G356.4  

Cite this article:

Xie Xiufang,Zhang Xiaolin. Integrated Analysis and Visualization of Sci-Tech Roadmaps: Case Study of Renewable Energy. Data Analysis and Knowledge Discovery, 2017, 1(1): 16-25.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.01.03     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I1/16

规则 描述 操作
计算符号(+/-)的判定规则(决定在时间t
的基础上执行“加”或“减”操作)
过去时间 over/past/previous/recent/preceding/last等, 符号取“-”
将来时间 next/following/coming/later等, 符号取“+”
计算加数或减数的取值规则(在时间t
的基础上执行加减的数值n)
单数 year: n=1; decade: n=10; century: n=100
two/three/ten/20等后接复数 years: 取相应数字, 即n=2/3/10/20等
decades: 取相应数字乘以10, 即n=10×(2/3/10/20)等
centuries: 取相应数字乘以100, 即n=100×(2/3/10/20)等
few/several/some等后接复数 years: n=5; decades: n=50; centuries: n=500
条件 赋值
当前时间(如today/present/current/now) 赋值为发表年份t
beginning/early/dawn/start of century/decade 赋值为该10年或世纪开始的年份
end/late of decade/century 赋值为该10年或世纪结束的年份
时间词为空(不包含且未能继承时间信息) Classification_1=“today” 即属于现状, 赋予发表年份t
Classification_1=“vision” 即属于愿景, 赋予最后一个规划节点年份
Classification_1=“pathway”/“action” 即属于路线或措施, 赋予整个规划区间
Classification_1=“other” 即属于其它, 赋予t-1, 作为其它背景信息
功能目标 参数设置 公共配置
发展愿景
分析
Classification_1=“vision”;
Classification_2=“target”;
x轴: time;
y轴: Classification_3;
发展路线
分析
Classification_1=“pathway”;
Classification_2=“target”;
权重: Weight;
颜色: Classification_4;
发展战略
分析
Classification_1=“action”;
Classification_2=“target &
need & barrier & enabler”;
节点: Keyword;
详情: 鼠标悬停节点显
示原句及所属全部信息
字段;
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