科技项目查重研究现状与发展对策
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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.
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.
引文
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[2]左川.基于非分词技术的科技项目查重研究与实现[D].重庆:重庆大学,2010.
[3]姜韶华.科研项目管理中文本挖掘方法研究及应用[D].大连:大连理工大学,2006.
[4]方延风.科技项目查重中特征词TF-IDF值计算方法的改进[J].情报探索,2012(1):1-3.
[5]胡伟伟,孙逊,王婷婷.基于向量空间模型的项目申报书查重系统设计[J].天津科技,2015(8):33-34.
[6]吴燕.基于层次聚类的科技项目分类与查重研究[D].天津:天津财经大学,2008
[7]刘荫明,张福俊,刘谦.浅析科研管理之避免重复立项[J].科技管理研究,2010(21):198-200.
[8]周黎辉,蔡蕙敏,周滨.科技计划项目全流程管理信息平台设计研发与应用[J].贵州大学学报,2013(30):90-94.
[9]林建海.相似度计算在科技项目管理系统中的研究及应用[D].杭州:杭州电子科技大学,2013.
[10]Salton G.The SMART Retrieval System:Experiments in Automatic Document Processing[M].Upper Saddle River:Prentice-Hall,Inc.,1971.
[11]Deerwester S,Dumais S T,Furnas G W,et al.Indexing by latent semantic analysis[J].Journal of the American Society for Information Science,1990,41(6):391-407.
[12]Lenusch G,Ueffing N,Ney H.A novel string-to-string distance measure with applications to machine translation evaluation[J].Journal of Magnetic Resonance,2010,27(1):137-141.
[13]唐果.基干语义领域向量空间模型的文本本似度计算[D].昆明:云南大学,2013.
[14]张芸.基于BTM主题模型特征扩展的短文本相似度计算[D].合肥:安徽大学,2014.