数据与计算发展前沿 ›› 2020, Vol. 2 ›› Issue (5): 30-40.

doi: 10.11871/jfdc.issn.2096-742X.2020.05.004

• 专刊:现代服务业关键技术与应用 • 上一篇    下一篇

基于区域科技资源服务平台的虚拟创新生态系统构建研究

孙艳艳1(),毛卫南1(),毛宇斐2(),吴海博3,*()   

  1. 1.北京市科学技术情报研究所,战略情报研究部,北京 100044
    2.华中农业大学信息学院,湖北 武汉 430070
    3.中国科学院计算机网络信息中心,北京 100190
  • 收稿日期:2020-07-12 出版日期:2020-10-20 发布日期:2020-10-30
  • 通讯作者: 吴海博
  • 作者简介:孙艳艳,北京市科学技术情报研究所,硕士,助理研究员,主要研究方向为科技资源分类和标准建设、科技资源服务模式等。
    本文中负责科技资源分类、科技资源知识图谱构建等主体部分的内容撰写。
    Sun Yanyan, master, is an assistant researcher of Beijing Institute of science and technology information. Her main research interests are classification and standard construction of science and technology resources, service mode of scientific and technological resources, etc...
    In this paper, she is responsible for writing the main content of the classification of scientific and technological resources, the construction of knowledge map of scientific and technological resources.
    E-mail: sunyy@bjstinfo.ac.cn|毛卫南,北京市科学技术情报研究所,助理研究员,博士,研究方向为数据分析、知识图谱应用等。
    本文中负责创新链、产业链内容的撰写。
    Mao Weinan, PH.D., is a research assistant of Beijing Institute of Science and Technology Information. His research interests include data analysis and knowledge mapping application.
    In this paper, he is responsible for writing the parts of the innovation chain and industrial chain.
    E-mail: 490689634@qq.com|毛宇斐,华中农业大学信息学院,学士,主要研究方向为数据抓取、数据可视化等。
    本文中负责京津冀大数据产业相关数据收集整理以及数据可视化处理。
    Mao Yufei is an undergraduate at School of information, Huazhong Agricultural University, majoring in data capture, data visualization, and etc…
    In this paper, he is responsible for Beijing-Tianjin-Hebei big data industry related data collection and data visualization processing.
    E-mail: 1371675915@qq.com|吴海博,中国科学院计算机网络信息中心,博士,副研究员,硕士生导师,主要研究方向为互联网体系结构、科技服务等。
    本文中负责总体框架构思和论文通稿。
    Wu Haibo, Ph.D., is an associate professor and master student supervisor of Computer Network Information Center, Chinese Academy of Sciences. His major research interest areas include Internet architecture and science and technology service.
    In this paper, he is responsible for the designing the overall framework and the draft of the paper.
    E-mail: wuhaibo@cstnet.cn
  • 基金资助:
    国家重点研发计划"京津冀协同创新区综合科技服务平台研发与应用示范(2017YFB1401500);北京市财政项目“京津冀科技资源信息共享平台建设(一期”PXM2020_178214_000005)

Research on Virtual Innovation Ecosystem Based on Regional Science and Technology Resource Service Platform

Sun Yanyan1(),Mao Weinan1(),Mao Yufei2(),Wu Haibo3,*()   

  1. 1. Beijing Institute of Science and Technology Information, Strategic Intelligence Research Department, Beijing 100044, China
    2. Huazhong Agricultural University, School of Information, Wuhan, Hubei 430070, China
    3. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2020-07-12 Online:2020-10-20 Published:2020-10-30
  • Contact: Wu Haibo

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摘要：

【目的】 基于已有平台实践和科技资源属性关联关系构建数字化平台模式下的虚拟创新生态系统。 【方法/过程】 首先将创新生态系统的网络性、关联性、系统性引入区域科技资源共享平台资源体系构建,基于资源分类分析、关联模型构建、属性定义形成以创新主体为核心的科技资源知识图谱。然后以京津冀为例,基于科技资源知识图谱、GIS等新一代信息技术对区域创新种群、重点区域创新群落、重点产业创新链产业链进行平台模拟分析和可视化展示,通过不同服务功能模块集成实现虚拟创新生态系统在线运行,使平台具备信息共享、决策支撑、智慧服务等集成化服务功能。 【结论/局限】 最后提出今后应从理论支撑、技术支撑、数据支撑、运营模式支撑四方面加强相关研究与实践。

关键词: 虚拟创新生态系统, 科技资源, 知识图谱, 创新群落, 创新链产业链, 智慧服务

Abstract:

[Objective] Based on the existing platform practice and the attribute relations of science and technology resources, the Virtual Innovation Ecosystem built on a digital platform is constructed. [Methods] Firstly, the characteristics of the network, relevance and systematization of the innovation ecosystem are introduced to construct the regional innovation resource digital sharing platform. Based on the analysis of resource classification, the construction of the correlation model and the definition of attributes, the knowledge graph of innovation resources is formed as the core innovation subject. Then taking Beijing-Tianjin-Hebei as an example, based on the new generation of information technology such as innovation resource knowledge graph, GIS, etc.., the simulation analysis and visual display of innovation population, innovation community and innovation chain industry chain are demonstrated on the platform. Through the integration of different service function modules, the online operation of the virtual innovation ecosystem is realized, which makes the platform an integrated service with functions such as information sharing, decision making support, intelligent services, etc... [Conclusions/ limitations] In the end, it is suggested that the relevant research and practice should be strengthened from four aspects: theoretical support, technical support, data support and operation mode support.

Key words: virtual innovation ecosystem, innovation resource, knowledge graph, innovation community, innovation chain industry chain, intelligent service