Survey Of Traditional And Semantic Plagiarism Detection Algorithms


Abstract in English

In this paper we review and list, the advantages and limitations of the significant effective techniques employed or developed in text plagiarism detection. It was found that many of the proposed methods for plagiarism detection have a weakness points and do not detect some types of plagiarized operations. This paper show a survey about plagiarism detection including several important subjects in plagiarism detection, which is plagiarism definition, plagiarism prevention and detection, plagiarism detection systems, plagiarism detection processes and some of the current plagiarism detection techniques. This paper compares between different plagiarism detection algorithms, and shows the points of weakness, and points of efficiency, and describe the power of semantic plagiarism detection methods, and shows its efficiency in detect plagiarism cases that another plagiarism detection algorithms don’t able to detect these cases, that semantic plagiarism detection methods are developed to get rid of traditional weakness points for all plagiarism detection methods have.

References used

J. J. G. Adeva, et al., "Applying plagiarism detection to engineering education," 2006, pp. 722-731
C. Lyon, et al., "Plagiarism is easy, but also easy to detect," Plagiary: CrossDisciplinary Studies in Plagiarism, Fabrication, and Falsification, vol. 1, 2006
L. Chao, L., et al., “GPLAG: detection of software plagiarism by program dependence graph analysis,” the 12th ACM SIGKDD international conference on Knowledge discovery and data mining. 2006, ACM: Philadelphia, PA, USA

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