基于关键词的知识图谱挖掘信息技术学科演化趋势

Trend of Information Technology Discipline Based on Mining the Keywords of Knowledge Graph

  • 摘要: 瑞士国家科学基金会(SNSF)作为瑞士最主要的科研基金提供机构,以促进瑞士科技创新的发展为主要任务。因此,从SNSF数据中挖掘创新型国家瑞士的信息学科研究现状和研究趋势,可以启发我国科研人员和科技管理人员的前瞻性思考。该文抽取了1999−2018年来源于SNSF数据库的科研基金项目完整信息,分析了信息技术学科科研基金中的关键词知识图谱的演化情况;发现信息技术从围绕原始分布式系统等软件开发研究演化成以机器学习、深度学习为中心的人工智能研究;接着采用层级结构分布图将信息技术和数学的关键词交叉分布情况可视化,值得注意的是密码学和算法是信息技术与数学学科最明显的交叉研究内容,而且交叉研究频繁的研究内容相对发展得更好;通过计算不同时间段关键词分布的Kullback-Leibler(KL)散度分析信息技术与数学的学科交叉情况,发现这两个学科的交叉研究经历了迅速发展后进入较稳定、成熟的状态。

     

    Abstract: The Swiss National Science Foundation (SNSF) is the leading supporter of research funding in Switzerland and is primarily responsible for promoting the development of Swiss scientific and technological innovations. Therefore, it is necessary to explore the research status and research trends of the innovations according to SNSF data, which could inspire forward thinking of Chinese researchers and managers. We collected the data of research projects from the SNSF database in 1999−2018. In this study, the evolution of keywords in the information technology discipline is analyzed and it is found that information technology evolved from software development research, such as distributed systems to artificial intelligence research like machine learning and deep learning and hierarchical structure distribution maps, to visualize information technology and mathematical keyword distribution. It is worth noting that cryptography and algorithms are the most obvious cross-disciplinary research content in information technology and mathematics. The results show that research content of cross-disciplinary research is relatively better. Then, by interpreting the intersection of information technology and mathematics by Kullback-Leibler (KL) divergence analysis of keyword distribution in different time periods, the cross-research experience of these two disciplines is found that after rapid development, it entered a more stable and mature state.

     

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