In Proceedings International Conference on Enterprise Information Systems (ICEIS), volume 2, pages 677–683, Lisbon, Portugal, April, 2014. Venue Rating: CORE CPaper Demo doi abstract bibtex
In a previous paper, we showed that analyzing citation patterns in the well-known plagiarized thesis by K. T. zu Guttenberg clearly outperformed current detection methods in identifying cross-language plagiarism. However, the experiment was a proof of concept and we did not provide a prototype. This paper presents a fully functional, web-based visualization of citation patterns for this verified cross-language plagiarism case, allowing the user to interactively experience the benefits of citation pattern analysis for plagiarism detection. Using examples from the Guttenberg plagiarism case, we demonstrate that the citation pattern visualization reduces the required examiner effort to verify the extent of plagiarism. Copyright ? 2014 SCITEPRESS - Science and Technology Publications.