摘要
抄袭论文识别研究对于净化学术风气、保护知识产权具有重要意义.国外对于抄袭论文(英文)识别技术与系统的研究已有多年历史,并取得一定进展,而国内发表的相关文献尚少.综述了抄袭论文识别技术,如数字指纹和词频统计等技术;介绍了相关识别系统,如siff、COPS、dSCAM、KOALA和Check等;分析了各抄袭识别技术特点及应用范围.最后结合中文学术论文的特点,从应用角度出发,讨论了若干待解决的关键问题及发展趋势.
Study of the methods for identifying plagiarism papers is important to encourage academic honesty and protect intellectual property rights. Many plagiarism-identification methods and systems about English papers have been studied for several years and some progress has been made. But little work has been done in China. This paper summarizes the current identification techniques (including fingerprinting, word-frequency, etc.), introduces correlative systems (e.g. siff, COPS, dSCAM, KOALA and Check), and analyzes their characteristics and application coverage. Lastly, in combination with characteristics of Chinese papers, plagiarism identification methods of Chinese papers are also discussed from the viewpoint of application.
出处
《大连理工大学学报》
EI
CAS
CSCD
北大核心
2005年第1期50-57,共8页
Journal of Dalian University of Technology
基金
国家自然科学基金资助项目(50275019
60073036)派生研究.
关键词
学术论文
知识产权
识别
数字指纹
词频
论文抄袭行为
Applications
Copyrights
Identification (control systems)
Image processing
Internet
Statistical methods
Word processing
World Wide Web
