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Title:      PLAGIARISM DETECTION: THE TOOL AND THE CASE STUDY
Author(s):      Vladislav Scherbinin , Sergey Butakov
ISBN:      978-972-8924-58-4
Editors:      Miguel Baptista Nunes and Maggie McPherson (series editors: Piet Kommers, Pedro IsaĆ­as and Nian-Shing Chen)
Year:      2008
Edition:      V I, 2
Keywords:      Plagiarism prevention, document fingerprinting, text search
Type:      Full Paper
First Page:      304
Last Page:      310
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Plagiarism is a problem in many education institutions around the world. Preventing digital plagiarism requires enormous amount of work from educator. In this paper we concentrate on implementation of well known anti-plagiarism algorithm for local and global search for the original source of plagiarized assignment. We first discuss problems in the implementation of existing anti-plagiarism systems, and then describe the open architecture that could be used for plagiarism detection in different kind of assignments from plain text to audio submissions. Finally we present preliminary results on algorithm implementation for processing of 1000+ submissions archive. We hope this paper will add a trend to the discussion of anti-plagiarism systems especially for new types of assignments.
   

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