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

Yongfeng ZHANG; Dongyun HUO; Zhenhua LI; Qiang ZHI; Yanxi LI

doi:10.11959/j.issn.2096-0271.2019043

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

APPLICATION | 更新时间：2024-06-03

- Application of academic big data in the connection of enterprises and experts
- Big Data Research Vol. 5, Issue 5, Pages: 2019043-1(2019)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2019043
  CLC： TP311.13
- Online First：2019-09，
  
  Published：15 September 2019
- 稿件说明：
移动端阅览
Yongfeng ZHANG, Dongyun HUO, Zhenhua LI, et al. Application of academic big data in the connection of enterprises and experts[J]. Big Data Research, 2019, 5(5): 2019043-1.
DOI：

Yongfeng ZHANG, Dongyun HUO, Zhenhua LI, et al. Application of academic big data in the connection of enterprises and experts[J]. Big Data Research, 2019, 5(5): 2019043-1. DOI： 10.11959/j.issn.2096-0271.2019043.

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。

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.

关键词

Keywords

references

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