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Existing plagiarism detection techniques: A systematic mapping of the scholarly literature

Taiseer Abdalla Elfadil Eisa (Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia)
Naomie Salim (Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia)
Salha Alzahrani (Department of Computer Science, Taif University, Taif, Saudi Arabia)

Online Information Review

ISSN: 1468-4527

Article publication date: 8 June 2015

2190

Abstract

Purpose

The purpose of this paper is to analyse the state-of-the-art techniques used to detect plagiarism in terms of their limitations, features, taxonomies and processes.

Design/methodology/approach

The method used to execute this study consisted of a comprehensive search for relevant literature via six online database repositories namely; IEEE xplore, ACM Digital Library, ScienceDirect, EI Compendex, Web of Science and Springer using search strings obtained from the subject of discussion.

Findings

The findings revealed that existing plagiarism detection techniques require further enhancements as existing techniques are incapable of efficiently detecting plagiarised ideas, figures, tables, formulas and scanned documents.

Originality/value

The contribution of this study lies in its ability to have exposed the current trends in plagiarism detection researches and identify areas where further improvements are required so as to complement the performances of existing techniques.

Keywords

Acknowledgements

This work is supported by the Malaysian Ministry of Higher Education and the Research Management Centre at the Universiti Teknologi Malaysia under Research University Grant Category Vot:Q.J130000.2528.07H89.

Citation

Eisa, T.A.E., Salim, N. and Alzahrani, S. (2015), "Existing plagiarism detection techniques: A systematic mapping of the scholarly literature", Online Information Review, Vol. 39 No. 3, pp. 383-400. https://doi.org/10.1108/OIR-12-2014-0315

Publisher

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Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited

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