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A Concept for Plagiarism Detection Based on Compressed Bitmaps

Authors:
Andreas Schmidt
Reinhold Becker
Daniel Kimmig
Robert Senger
Steffen Scholz

Keywords: Compressed bitmaps; plagiarism detection; visualization

Abstract:
In the last few years, several public persons in Germany have been convicted of inadequate scientific practice and or scientific misconduct in writing their dissertations. An examples is the former German Federal Minister of Defense Guttenberg, who had to resign as a consequence of this scandal. These events have led to an increased interest in methodologies to automatically detect plagiarism in documents. In today’s digital society, however, the vast growth of available information makes this a challenging task. To address this situation, tools for the detection of plagiarism must be built up on highly efficient data structures and utilize very fast operations. In our approach, we propose the use of compressed bitmaps as a representation form. We introduce a new concept of plagiarism detection, which is based on mapping suspicious documents and potential source documents onto these compressed bitmaps. We will explain how the detection process can be accelerated.

Pages: 30 to 34

Copyright: Copyright (c) IARIA, 2014

Publication date: April 20, 2014

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-334-6

Location: Chamonix, France

Dates: from April 20, 2014 to April 24, 2014