عنوان مقاله :
Survey Of Traditional And Semantic Plagiarism Detection Algorithms
پديد آورندگان :
omar, khaled damascus university - faculty of information technology engineering, Syria , al-shikha, sobhi damascus university - faculty of electrical and mechanical engineering, Syria
چكيده فارسي :
In this paper we review and list, the advantages and limitations of the significanteffective techniques employed or developed in text plagiarism detection. It was found thatmany of the proposed methods for plagiarism detection have a weakness points and do notdetect some types of plagiarized operations.This paper show a survey about plagiarism detection including several importantsubjects 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.
كليدواژه :
Semantic Plagiarism Detection algorithms , Detection Process, DetectionTechniques
عنوان نشريه :
مجلة جامعة تشرين: العلوم الهندسية