基于大数据分析的技术转移平台

Platform of Technology Transfer Based on Big Data Analysis

随着国家对技术转移工作的大力支持,越来越多的技术转移平台开始涌现.但是当前的大部分技术转移平台对供需数据无法做到很好的匹配,所以平台对于技术转化成功率的提升效果受到一定限制.为了解决这个问题,本文提出一种新颖的技术转移平台实现方法,它主要利用大数据挖掘技术来整理和分析平台数据,在此基础上,我们结合全文检索、数据采集、RESTful接口等其他技术,共同提升数据的匹配度,扩大数据的展示范围,从而提升技术转化率.目前平台已在江苏省部署运行,通过平台促成了大批技术成果转移落地.

With the strong support of China for technology transfer,more and more technology transfer platforms have been emerging.However,it is difficult to match supply and demand on existing platforms.Therefore,the platform’s potential in improving the success rate of technology transfer is limited.For solving this issue,this study proposes a novel implementation method for technology transfer platform which uses big data mining technology to organize and analyze platform data.We combine other technologies such as full-text search,data collection,and RESTful interface to jointly improve the matching degree of the data,expand the visible range of the data,and ultimately improve the technology transfer rate.At present,a platform has been deployed and operated in Jiangsu Province.Through the platform,a large number of technology transfers have been implemented.