大数据智能比对系统在防范疑似一稿多投中的应用  

Application of Big Data Intelligent Comparison System in Preventing Suspected Duplicate Submission

作　　者：范志静[1] 孙中悦[1] 顾爽 FAN Zhijing;SUN Zhongyue;GU Shuang(Journal Editorial Department,Beijing Jiaotong Univeisity,Beijing 100044,China)

机构地区：[1]北京交通大学学报编辑部,北京100044

出　　处：《北京印刷学院学报》2022年第10期29-32,共4页Journal of Beijing Institute of Graphic Communication

基　　金：2021年度北京交通大学中央高校基本科研业务费专项资助项目“媒体融合视域下北交大学报宣传与转型研究”(O21JB0700020)阶段性研究成果。

摘　　要：近年来,在中国学术研究日益繁荣的大背景下,学术论文的产出处于井喷状态。防范一稿多投,在源头上消灭学术不端现象已经成为迫在眉睫的工作。本文在分析了一稿多投的成因、审查疑似一稿多投系统应用现状的基础上,借鉴了现有大数据智能比对系统的架构,根据期刊编辑部审查论文的业务需求,设计了防范疑似一稿多投的比对系统框架。最后探讨了大数据智能比对系统在防范疑似一稿多投中的应用的可行性并给出了应用建议。In recent years,with the booming academic research in China,the output of academic papers is in a state of blowout.Preventing duplicate submission and eliminate academic misconduct at the source has become an urgent task.On the basis of analyzing the causes of duplicate submission and the application status of the system for reviewing suspected duplicate submission,this paper draws on the existing intelligent comparison system architecture of big data and designs a comparison system framework for preventing suspected duplicate submission according to the business needs of the journal editorial department.Finally,the feasibility of the application of big data intelligent comparison system in preventing suspected duplicate submission is discussed and some application suggestions are given.

关 键 词：一稿多投 比对系统 比对算法 联合防范 

分 类 号：G237.5[文化科学]