大数据 ›› 2019, Vol. 5 ›› Issue (5): 79-88.doi: 10.11959/j.issn.2096-0271.2019043

• 应用 • 上一篇    下一篇

学术大数据在企业专家对接中的应用

张永锋1,霍东云2(),李振华1,智强2,3,李燕茜2   

  1. 1 清华大学软件学院,北京 100084
    2 北京赛时科技有限公司,北京 100084
    3 东莞理工学院科技资源大数据研究与成果转化中心,广东 东莞 523808
  • 出版日期:2019-09-15 发布日期:2019-10-11
  • 作者简介:张永锋(1994-),男,清华大学软件学院硕士生,主要研究方向为云存储、网络信息爬取等。|霍东云(1981-),男,北京赛时科技有限公司联合创始人兼首席技术官(CTO),主要研究方向为大数据、云计算、移动互联网等。|李振华(1983-),男,博士,清华大学软件学院副教授、博士生导师,主要研究方向为云计算、云存储、移动互联网等。|智强(1983-),男,北京赛时科技有限公司创始人兼首席执行官(CEO),东莞理工学院科技资源大数据研究与成果转化中心主任,主要研究方向为创新过程、科研管理与科技政策。|李燕茜(1989-),女,北京赛时科技有限公司联合创始人兼首席运营官(COO),主要研究方向为技术创新、政府管理、产业政策等。
  • 基金资助:
    国家重点研发计划基金资助项目(2018YFB1004700);东莞理工学院高层次人才(创新团队)基金资助项目(KCYCXPT2017001);东莞理工学院高层次人才(创新团队)基金资助项目(KCYXM2018001)

Application of academic big data in the connection of enterprises and experts

Yongfeng ZHANG1,Dongyun HUO2(),Zhenhua LI1,Qiang ZHI2,3,Yanxi LI2   

  1. 1 School of Software,Tsinghua University,Beijing 100084,China
    2 ScientistIn Co.,Ltd.,Beijing 100084,China
    3 Science and Technology Resource Big Data Research and Achievement Transformation Center,Dongguan University of Technology,Dongguan 523808,China
  • Online:2019-09-15 Published:2019-10-11
  • Supported by:
    National Key Research and Development Program of China(2018YFB1004700);High Level Talent (Innovation Team) Project of Dongguan University of Technology(KCYCXPT2017001);High Level Talent (Innovation Team) Project of Dongguan University of Technology(KCYXM2018001)

摘要:

基于创新驱动战略的大背景,分析了企业和高校科研机构的专家在对接过程中面临的困难。以学术大数据技术为支撑,搭建了产业领域专家数据集成系统,并以此为基础,建立了科技成果全链转化体系。在线上对企业需求进行收集与核实,利用学者大数据画像技术进行精确匹配和推送;在线下联系企业专家进行对接后,持续提供项目管理、风险评估和科技保险服务。目前该系统已经收集了上万个企业的需求,完成了多个企业专家对接项目,提高了对接的精准度和效率,实现了企业和专家的互利共赢。

关键词: 学术大数据, 专家对接, 企业服务, 科技成果转化

Abstract:

Under the background of the innovation-driven strategy,the difficulties faced by enterprises and experts in universities in the process of connecting were analyzed.Based on academic big data technology,an expert data system for industrial fields was built and a full-chain transformation system for scientific and technological achievements was established.By collecting and verifying enterprise needs online,using scholars’ portrait technology to accurately match and push,enterprise experts offline was contacted,project management,risk assessment and technology insurance services were continued to provide.At present,the system has collected tens of thousands of enterprise needs,completed a number of projects with connection of enterprises and experts,improved the accuracy and efficiency of connecting,and achieved mutual benefit and win-win between enterprises and experts.

Key words: academic big data, expert connection, enterprise service, scientific achievement transformation

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