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作 者:樊宇航 吴晓昱 朱悦 陈苗 徐鹏景 FAN Hanghang;WU Xiaoyu;ZHU Yue;CHEN Miao;XU Pengjing(Shanghai Science and Technology Development Co.,Ltd.,Shanghai 200062,China;Data Intelligence Research Institute of Shanghai Science and Technology Innovation Resource Data Center,Shanghai 200062,China;Smart Pharmaceutical(Shanghai)Co.,Ltd.,Shanghai 201106,China)
机构地区:[1]上海科技发展有限公司,上海200062 [2]上海科技创新资源数据中心数据智能研究院,上海200062 [3]聪明制药(上海)有限公司,上海201106
出 处:《数字通信世界》2022年第12期178-182,共5页Digital Communication World
摘 要:目前大学排名多以学科体系为基础,缺乏与产业体系相符的详细分类,为潜在的产学研结合及技术转移选择合作对象带来不便。文章采用大数据处理技术,以产业体系为基础,以海量专利论文文献数据为支撑,利用构建的产业词库,形成结构化的大学排名流程,并应用于国内双一流高校。排名方法由资源下载、文本分词、数据处理和结果呈现四个模块组成,该方法可以实现对细分产业的精确划分,也与其他有类似分类的权威排名一致。该排名方法将有助于从产业细分角度解构大学的研究重点,提高大学向产业的技术转移效率,勾勒完善的产学研体系地图。At present,university rankings are mostly based on the discipline system,lacking detailed classification consistent with the industrial system,which brings inconvenience to the potential combination of industry,university and research and the selection of cooperation objects for technology transfer.This paper adopts big data processing technology,based on the industrial system,supported by massive patent papers and literature data,and uses the constructed industrial thesaurus to form a structured university ranking process,which is applied to domestic double first-class universities.The ranking method in this paper consists of four modules:resource download,text segmentation,data processing and result presentation.The research results show that the method in this paper can achieve accurate division of subdivided industries,and is consistent with other authoritative rankings with similar classifications.The ranking method in this paper will help to deconstruct the research focus of universities from the perspective of industry segmentation,improve the efficiency of technology transfer from universities to industries,and outline a complete map of industry university research system.
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