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

摘要/Abstract

摘要：

学术大数据逐步成为提升科技管理水平的重要数据基础。通过调研国内外科技管理信息化的发展现状和特点，总结了学术大数据的发展及应用，分析了学术大数据在科技管理过程应用中面临的问题。结合我国科技管理的应用需求，设计了基于学术大数据的科技管理应用框架。基于知识图谱的学者画像构建技术和基于网络表示学习的相似作者推荐技术，利用多源异构的学术大数据，进行科研布局和资源统筹辅助决策以及科技管理过程中的专家精准推荐和成果评估评价，为提高科技管理效率提供了有效的技术支撑。

关键词: 学术大数据, 科技管理, 知识图谱, 网络表示学习, 专家推荐

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

中图分类号:

TP315

梁英, 张伟, 余知栋, 史红周. 学术大数据技术在科技管理过程中的应用[J]. 大数据, 2019, 5(5): 3-15.

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.

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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