针对科技路线图的文本挖掘研究:集成分析及可视化

发布时间：2018-04-14 07:34

本文选题：科技路线图 + 战略情报　；参考：《数据分析与知识发现》2017年01期

【摘要】：【目的】实现针对科技路线图内容的知识发现研究,预测未来科技长期发展趋势。【方法】基于采用"抽取同步分类"的文本挖掘方法构建的科技路线图信息库,集成分析全球科技发展需求和趋势,对比分析各国发展路线和措施,并以可再生能源领域为案例进行实证研究。【结果】利用开源工具Timeflow、Gephi等对实证研究结果进行可视化,按时间序列从多个角度呈现了可再生能源领域到2050年的发展态势及各国的战略规划。【局限】综合利用了多种方法工具,自动化程度有待提高,个性化功能有待完善。【结论】该研究方案能够快速获取科技路线图中的核心信息,提高情报获取效率。
[Abstract]:[objective] to realize the research of knowledge discovery for the content of science and technology road map and predict the long-term development trend of science and technology in the future. [methods] the information base of science and technology road map is constructed based on text mining method of "extracting synchronous classification".Integrated analysis of global scientific and technological development needs and trends, comparative analysis of national development routes and measures, and taking renewable energy as a case study. [results] using open source tools such as Timeflow Gephi to visualize the results of empirical research.In time series, the trends in the field of renewable energy up to 2050 and the strategic planning of each country are presented. [limitations] the comprehensive use of a variety of methodological tools, and the degree of automation needs to be improved,The personalized function needs to be improved. [conclusion] this research scheme can quickly obtain the core information in the science and technology roadmap and improve the efficiency of information acquisition.
【作者单位】：中国科学院文献情报中心;首都医科大学卫生管理与教育学院/首都医科大学图书馆;
【基金】：中国科学院规划与决策科技支持系统建设项目“科技决策知识服务平台”(项目编号:院1405)的研究成果之一
【分类号】：G254

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