节点文献
基于提取关键词的中文文档复制检测研究
Research on Chinese Document Copy Detection Based on Extracting Key Words
【摘要】 文档复制检测技术在保护知识产权和信息索引中起重要作用,它可以防止剽窃事件的发生,提高互联网检索效率。目前,英文复制检测技术已经比较成熟,但中文复制检测技术研究还处于起步阶段。本文提出一种基于关键词的指纹提取方法;提出k-words方法分解句子;定义了数字指纹树概念,并用数字指纹树来存储指纹。最后,用实验验证了所提出的方法。
【Abstract】 The technique of copy detection plays an important role in intellectual property protection and information retrieval,which can prevent plagiarism and improve the retrieval efficiency of the Internet.Now,the copy detection technique of English has become mature.However,the copy detection technique of Chinese is in the first step.An extracting fingerprinting method based on
【关键词】 指纹;
剽窃;
文本块;
匹配;
【Key words】 has been proposed.The K-words method is proposed to decompose sentences.The concept of digital fingerprinting tree which is used to store the fingerprints has been defined.Finally,the method is validated by experiments.Key words:fingerprint; plagiarism; chunk; match;
【Key words】 has been proposed.The K-words method is proposed to decompose sentences.The concept of digital fingerprinting tree which is used to store the fingerprints has been defined.Finally,the method is validated by experiments.Key words:fingerprint; plagiarism; chunk; match;
- 【文献出处】 计算机工程与科学 ,Computer Engineering & Science , 编辑部邮箱 ,2007年10期
- 【分类号】TP309.3
- 【被引频次】20
- 【下载频次】321