学术大数据在企业专家对接中的应用

doi:10.11959/j.issn.2096-0271.2019043

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

• APPLICATION • Previous Articles Next Articles

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

Yongfeng ZHANG¹,Dongyun HUO²(),Zhenhua LI¹,Qiang ZHI^2,³,Yanxi LI²

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)

Abstract

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

CLC Number:

TP311.13

Yongfeng ZHANG, Dongyun HUO, Zhenhua LI, Qiang ZHI, Yanxi LI. Application of academic big data in the connection of enterprises and experts[J]. Big Data Research, 2019, 5(5): 79-88.

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References 10

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