【摘要】 技术创新团队的发现、培育工作,对于促进高校产学研联系具有重要的战略意义。利用IncoPat中高校专利交易数据,通过共现网络、聚类、战略坐标图识别技术创新团队,依据历时网络的关联、变化进行演变分析,结合发明人的科学研究背景信息获悉其科学技术关联,并以浙江大学为例,进行了实例研究。结果表明,自然语言处理技术与可视化知识图谱相结合的方法,能促进技术创新团队识别、跟踪工作的深入开展,并能提高中文专利数据的分析深度。更多还原

【Abstract】 The discovery and cultivation of technology innovation teams has great strategic significance for promoting the industry-university-research connections in colleges and universities. In this paper, the co-occurrence network, clustering and strategic coordinate diagrams are used to identify the technology innovation teams based on the patent transaction data of universities from IncoPat. Then through the combination of the evolution analysis based on the association and changes of the networks over time and the scientific research background information of the inventors, their scientific and technological correlations are obtained. Last, a case study on Zhejiang University is carried out. The results show that the method that combines the natural language processing techniques and visual knowledge map tools can greatly promote the identification and tracking of technology innovation teams and improve the in-depth analysis of the patent data in Chinese.更多还原