从商业智能到科研智能:智能化时代的科学学与科技管理  

From Business Intelligence to Science Intelligence:Science of Science and S.&T.Management in the Era of Intelligence

作　　者：胡志刚[1] 王欣[1] 李海波 HU Zhigang;WANG Xin;LI Haibo(Institute of Science of Science and S.&T.Management,Dalian University of Technology,Dalian 116024,China;Qilu University of Technology(Shandong Academy of Sciences),Jinan 250103,China)

机构地区：[1]大连理工大学科学学与科技管理研究所,辽宁大连116024 [2]齐鲁工业大学(山东省科学院),济南250103

出　　处：《科学学与科学技术管理》2021年第1期3-20,共18页Science of Science and Management of S.& T.

基　　金：国家自然科学基金面上项目(71974030)。

摘　　要：商业智能作为企业管理中一种数据驱动的智能化管理工具,可以显著提高企业的决策水平和管理能力。作为企业管理的兄弟领域,科技管理无论在信息化方面还是在智能化方面,与前者相比都有着不小的差距。在大数据和人工智能技术蓬勃发展的今天,科学学与科技管理能不能借鉴商业智能的工具和商科思维方式,更好的发挥数据在科技管理中的作用,决定科技管理未来能不能更好的服务于我国科技事业的发展需要。文章提出并梳理了科研智能的概念,总结了科研智能的理论渊源和发展路径,介绍了科研智能的整体框架和关键技术,并阐述了科研智能的学术价值和现实意义。Human society is entering an era which is filled of informationization,big data and intelligence.New concepts such as artificial intelligence,data intelligence,organizational intelligence,and business intelligence are emerging inendlessly.Among them,business intelligence,as the most mature,specific and widely used concepthas undergone several connotation evolutions since itbeen put forward in the late 1980 s,which has become an important data analysis and display system for enterprise decision support,and can solve the problem of data support in decision-making and operation for enterprises,greatly improving the level and efficiency of enterprise management.So,in science management,can we use business intelligence thinking and tools to provide decision-making assistance and management support for science management?In this context,we put forward a concept of"science intelligence".The theoretical origin of the concept of science intelligence mainly includes the following two points.Firstly,science intelligence is the application of business intelligence technology in scientific research.It borrows mature technologies and solutions to solve the specific problems in science managementin the field of business intelligence.Secondly,science intelligence is neededby the times for the development of scientific informatization and scientometrics.At present,we already have a relatively complete scientific research data infrastructure.The key issue that needs to be focused on in the following part is how to upgrade and transform at the software level and integrate scattered scientific research data.Based on the thoughts and technologies of business intelligence,the research designed the overall framework of science intelligence.It integrates modern data warehousing technology,data mining technology and data dashboard technology,and integrates semantic information processing,knowledge search and recommendation,chart dashboard,mapping knowledge domains and other modules.In this framework,the bottom layer is a multi-source het

关 键 词：科研智能 商业智能 科学学与科技管理 科研信息化 科学计量学 

分 类 号：G306[文化科学]