Empowering Plagiarism Detection with a Web Services Enabled Collaborative Network

Abstract

This paper explains how collaborative efforts in terms of technology and content, can help improve plagiarism detection and prevention. It presents a web service oriented architecture, which utilizes the collective strength of various search engines, context matching algorithms and indexing contributed by users. The proposed framework is an open source tool, yet it is extremely efficient and effective in identifying plagiarism instances. By creatively using distributed processing capabilities of web services, this tool offers a comprehensive mechanism to identify pirated contents. With an aim to extend current plagiarism detection facilities, the proposed framework not only tries to reduce known deficiencies but also aims to provide plagiarism protection mechanism. The distributed indexing approach adapted in the system provides scalability to examine deep web resources. Network nodes with more focused indexing can help build domain specific archives, providing means of context aware search for semantic analysis.