科技项目查重研究现状与发展对策  

Status Quo and Development Countermeasure of Finding Duplicate Science Projects

作　　者：刘如[1] 秦潇[1] 董晓晴[1] 吴琼[1] LIU Ru;QIN Xiao;DONG Xiaoqing;WU Qiong(Beijing Municipal Institute of Science and Technology Information,Beijing 100044,China)

机构地区：[1]北京市科学技术情报研究所,北京100044

出　　处：《天津科技》2017年第2期21-24,共4页Tianjin Science & Technology

摘　　要：大数据时代的到来和人工智能的崛起,为科技项目管理工作提供了新的技术和方法。通过对我国科技项目查重研究现状以及国内外查重相关技术发展的分析,提出我国科技项目查重研究的发展对策,为解决重复立项等问题探索了新的思路和技术手段。建议建立融合国内外科技项目的大型数据库,并重点研究基于深度学习技术的项目查重方法。在大数据时代的思维模式下,以监理大型科技项目库为基础,对科技项目进行智能查重服务是未来科技项目查重研究发展的必然趋势。The arrival of the era of big data and the development of artificial intelligence have provided new technologies and methods to the management of science and technology projects.The paper mainly proposes development countermeasure of finding duplicate science projects according to literature research,and explores new ideas and technical methods to solve current problems in the field of repeated project tackling.Under the thinking patterns in the era of big data,supplying intelligence science project check services to users,which is based on large scale science and technology project database,is the inevitable trend of future development.

关 键 词：科技项目查重 文本相似度 深度学习 

分 类 号：G350[文化科学—情报学]