A Practical Algorithm for Plagiarism Detection Based on Search Engine

Author:

Qiu Zhuang Li1,Xu Dong Ling1

Affiliation:

1. University of Xiangtan

Abstract

In the current background of quantitative academic evaluation system in China, many scholars, graduate students are tend to plagiarize from web. To detect plagiarism efficiently, there should be a massive text collection which could be accessed easily, cheaply and quickly. Some algorithms refer to the quickly developing online database, such as Chinese CNKI database. We introduced an algorithm to detect plagiarism quantitatively based on natural language segment and precise retrieval function of search engine. The source text is segmented into sentences with punctuation marks. Each sentence is searched in search engine as a single keyword with quotes. The similarity between source file and web information is computed by the ratio of matched sentences return by search engine. The experiments show that this algorithm is practical and feasible.

Publisher

Trans Tech Publications, Ltd.

Reference6 articles.

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2. S. Brin, J. Davis, H. Garcia-Molina, Copy Detection Mechanisms for Digital Documents, Proceedings of the ACM SIGMOD Annual Conference, San Francisco, CA, May (1995).

3. N. Shivakumar and H. Garca-Molina, Finding near-replicas of documents on the web. WebDB 1998. pp: 204-212.

4. Cheng Yuzhu, Wu Shuyue, Text similarity computing based on components, Computer Engineering and Design, 2006(18).

5. Jin Bo, Shi Yanjun, Teng Hongfei, Document-structure-based copy detection algorithm, Journal of Dalian University of Technology, 2007(1), pp.125-130.

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