January 16, 2018

Research Paper: “Plagiarism Detection – State-of-the-Art Systems (2016) and Evaluation Methods”

The following research paper was recently posted on the arXiv repository.

Title

Plagiarism Detection – State-of-the-Art Systems (2016) and Evaluation Methods

Author

Christina Kraus
Technische Universität Berlin

Source

via arXiv
March 8, 2016

Abstract

Plagiarism detection systems comprise various approaches that aim to create a fair environment for academic publications and appropriately acknowledge the authors’ works. While the need for a reliable and performant plagiarism detection system increases with an increasing amount of publications, current systems still have shortcomings. Particularly intelligent research plagiarism detection still leaves room for improvement. An important factor for progress in research is a suitable evaluation framework.

In this paper, we give an overview on the evaluation of plagiarism detection. We then use a taxonomy provided in former research, to classify recent approaches of plagiarism detection. Based on this, we asses the current research situation in the field of plagiarism detection and derive further research questions and approaches to be tackled in the future.

Direct to Full Text Paper (4 pages; PDF)

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Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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