数据与计算发展前沿 ›› 2020, Vol. 2 ›› Issue (6): 62-73.doi: 10.11871/jfdc.issn.2096-742X.2020.06.007

• 技术与应用 • 上一篇    下一篇

科技资源标识服务系统及创新应用

刘佳,夏晓蕾,王姝,王丽娟,郭志斌,胡良霖,周园春()   

  1. 中国科学院计算机网络信息中心,北京 100190
  • 收稿日期:2020-11-20 出版日期:2020-12-20 发布日期:2020-12-29
  • 通讯作者: 周园春
  • 作者简介:刘佳,中国科学院计算机网络信息中心,大数据技术与应用发展部标识技术与应用实验室,硕士,工程师,主要从事标识解析技术研究和标准研制工作。本文主要承担科技资源标识服务系统及创新应用的管理架构及创新应用研究。
    LIU Jia is an engineer at the Department of Big Data Technology and Application Development at Computer Network Information Center, Chinese Academy of Sciences. Her research interests include identification technology and standard development.In this paper she is mainly responsible for the research about the management structure and innovative applications.E-mail: liujia@cnic.cn|夏晓蕾,中国科学院计算机网络信息中心,大数据技术与应用发展部标识技术与应用实验室,硕士,主要从事国际标准进展研究工作。本文主要承担科学数据标识技术调研工作。
    XIA Xiaolei works in the Department of Big Data Technology and Application Development at Computer Network Information Center, Chinese Academy of Sciences. Her research interest is the national standard of identification technology.In this paper she is mainly responsible for literature research and platform overview.E-mail: xlxiao@cnic.cn|王姝,中国科学院计算机网络信息中心,大数据技术与应用发展部标识技术与应用实验室,博士,助理研究员,主要从事标识解析技术研究和标准研制工作。本文主要承担科技资源标识服务系统及创新应用的技术架构研究。
    WANG Shu is an assistant research fellow at the Department of Big Data Technology and Application Development at Computer Network Information Center, Chinese Academy of Sciences. Her research interests include identification technology and standard development. In this paper she is mainly responsible for the research about the technical structure.E-mail: wangshu@cnic.cn|王丽娟,中国科学院计算机网络信息中心,大数据技术与应用发展部标识技术与应用实验室,硕士,研究实习员,主要从事标识解析技术研究及平台产品设计工作。本文主要承担科技资源标识服务系统及创新应用的应用架构研究。
    WANG Lijuan is a research assistant fellow at the Department of Big Data Technology and Application Development at Computer Network Information Center, Chinese Academy of Sciences. Her research interests include identification technology and platform product design. In this paper she is mainly responsible for the application architecture research.E-mail: wlj@cnic.cn|郭志斌,中国科学院计算机网络信息中心,大数据技术与应用发展部标识技术与应用实验室,高级工程师,主要从事区块链,标识技术设计与研发工作。本文主要承担科技资源标识服务系统及创新应用的研发实现。
    GUO Zhibin is a senior engineer at the Department of Big Data Technology and Application Development at Computer Network Information Center, Chinese Academy of Sciences. He is mainly engaged in the design and development of blockchain and identification technology. In this paper he is mainly responsible for the R&D implemen-tation.E-mail: gzb@cnic.cn|胡良霖,中国科学院计算机网络信息中心,研究员,国家基础学科公共科学数据中心主任,目前主要从事科学大数据管理、开放共享、应用服务等方面研究工作。本文主要承担科技资源标识服务系统及创新应用的研发实现。
    HU Lianglin is a Professor at Computer Network Information Center of the CAS and the Director of National Basic Science Data Center. His recent research interest areas follow: scientific big data management, open sharing and application services.In this paper he is mainly responsible for the R&D implemen-tation.E-mail: hull@cnic.cn|周园春,中国科学院计算机网络信息中心,博士,研究员,博士生导师,中科院特聘研究员,中心学位评定委员会主席,大数据技术与应用发展部主任,大数据分析与计算技术国家地方联合工程实验室秘书长,中科院信息化专项科学大数据工程负责人。发表SCI/EI收录论文90多篇。主要研究方向为云计算、大数据分析与处理。 本文主要承担工作为基于科技资源标识服务的科学数据标识应用整体架构设计。
    ZHOU Yuanchun is the research fellow and Ph.D. supervisor of Computer Network Information Center of the CAS, the Director of the Department of Big Data Technology and Application Development, and the Chairman of the Degree Evaluation Committee in Computer Network Information Center, Chinese Academy of Sciences. He is the head of the Science Big Data Project of the Chinese Academy of Sciences. His research interests include cloud computing and big data analysis and processing. In this paper he is mainly responsible for the overall framework design.E-mail: zyc@cnic.cn

Science & Technology Resource Identification Service System and its Innovative Application

LIU Jia,XIA Xiaolei,WANG Shu,WANG Lijuan,GUO Zhibing,HU Lianglin,ZHOU Yuanchun()   

  1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2020-11-20 Online:2020-12-20 Published:2020-12-29
  • Contact: ZHOU Yuanchun

摘要:

【目的】目前我国正处于建设科技强国与创新发展的关键时期,通过建设科技资源标识服务平台,加强科技资源管理,实现科技资源的开放共享是当前重要课题。【文献范围】 文章重点研究了国内外主流标识技术与应用范围。【方法】本文基于分层分级的标识管理体系架构,阐述了构建科技资源标识服务系统的关键技术和系统工具,给出了一种面向科技资源管理和开放共享的标识服务系统。【结果】通过构建科技资源标识服务系统,促进科技资源信息互联互通,推动科技资源开放共享,为科技资源可定位、可追溯、可引用、可统计与可评价提供系统基础。【局限】 目前系统主要对数据进行了基础显性关联分析,后续将结合知识图谱技术与区块链技术,实现可信标识链的建立与数据隐性关联的探索与可视化分析。【结论】科技资源标识服务系统在提升科技资源管理规范化及标准化能力的同时,稳步提升科技资源数据开放与共享能力,服务国家科技创新需要。

关键词: 科技资源, 标识, 标识注册, 知识图谱

Abstract:

[Objective] China is undergoing a critical time period of building an innovative and powerful scientific and technological country. It is an important to strengthen the management of scientific and technology resources and realize the open-sharing of scientific and technological resource data by building a service platform for identifying scientific and technology resources. [Scope of the literature] This article focuses on the research of identification protocols and their applications in China and internationally. [Methods] Based on the hierarchical identification management architecture, this paper expounds the key technologies and system tools for constructing the identification service system for science and technology resources and presents an identification service system for managing and open-sharing science and technology resources. [Results] Through the construction of a science and technology resource identification service system, the information connectivity and open-sharing capacity of science and technology resources are improved. Besides, the system builds up the basis for locating, tracing, referencing, statistical analyzing, and evaluating science and technology resources. [Limitations] At present, the system mainly conducts basic explicit correlation analysis of data. In the future, by using the knowledge graph and blockchain, the platform will realize visual analysis of establishment of the trusted identification chain and exploration of implicit correlation of data. [Conclusions] Science and technology resource identification service system not only improves the standardization of science and technology resource management, but also improves the open-sharing capability of science and technology resource data to serve the needs of national science and technology innovation.

Key words: science and technology resource, identification, identity registration, knowledge graph