学术大数据技术在科技管理过程中的应用

doi:10.11959/j.issn.2096-0271.2019037

Abstract

Abstract:

Academic big data is gradually recognized as an important data foundation for improving the level of science and technology management.Status quo and characteristics of science and technology management informationization were investigated at home and abroad,the development and applications of academic big data were summarized,and the problems were analyzed in applications of academic big data in the process of science and technology management.The needs of science and technology management application were combined,a technology management application framework based on academic big data was designed,scholarly image construction based on knowledge graph and similar author recommendation technology based on network representation learning were applied to assist in improving the overall layout of scientific research and resources utilizing multi-heterogeneous academic big data collection.Effective technical support for improving the efficiency of science and technology management was provided.

Key words: academic big data, science and technology management, knowledge graph, network representation learning, experts recommendation

CLC Number:

TP315

Ying LIANG, Wei ZHANG, Zhidong YU, Hongzhou SHI. Applications of academic big data in the process of science and technology management[J]. Big Data Research, 2019, 5(5): 3-15.

Figures/Tables 6

References 29

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字段	示例
标题	软件测试性设计综述^[23]
作者	付剑平，陆民燕
作者机构	北京航空航天大学工程系统工程系，100083
主题	软件测试性设计，软件测试性，软件开发周期
摘要	软件测试性设计分为4类，设计时应当遵循的测试性设计原则
发表年份	2008年
所在期刊	计算机应用
分类号	TP311.5

Applications of academic big data in the process of science and technology management

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