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同行评议专家遴选系统研究与实现
引用本文:李振清,刘建毅,王枞,吴旭.同行评议专家遴选系统研究与实现[J].现代图书情报技术,2012(5):81-86.
作者姓名:李振清  刘建毅  王枞  吴旭
作者单位:机械工业技术发展基金会;北京邮电大学计算机学院;北京邮电大学可信分布式计算与服务教育部重点实验室;北京邮电大学图书馆
基金项目:国家科技支撑计划项目“智能处理技术审计应用研究”(项目编号:2009BAH42B02)的研究成果之一
摘    要:设计并实现一个科技项目同行评议专家智能遴选系统,以专家信息和专家档案库为基础,采用基于统计的术语抽取技术解决未登录词问题,利用向量空间检索计算待评审项目和评审专家的相关性,根据相关性大小遴选出最合适的评审专家。

关 键 词:同行评议  专家搜索  术语抽取

Research and Implementation of Peer-review Experts Selection System
Li Zhenqing,Liu Jianyi,Wang Cong,Wu Xu.Research and Implementation of Peer-review Experts Selection System[J].New Technology of Library and Information Service,2012(5):81-86.
Authors:Li Zhenqing  Liu Jianyi  Wang Cong  Wu Xu
Institution:3,4 1(China Machinery Technical Development Foundation,Beijing 100823,China) 2(School of Computer Science,Beijing University of Posts and Telecommunications,Beijing 100876,China) 3(Key Laboratory of Trustworthy Distributed Computing and Service(BUPT),Ministry of Education,Beijing 100876,China) 4(Beijing University of Posts and Telecommunications Library,Beijing 100876,China)
Abstract:The paper designs and implements a peer-review expert selection system for technology projects.Based on experts’ information and archives,the system uses statistics-based term extraction technology to solve the unknown words problem,and uses vector space retrieval to calculate the similarity between the project and peer-review experts.Finally,it selects the most appropriate peer-review experts according to the similarity.
Keywords:Peer-review Expert selection Term extraction
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