Plagiarism detection of text using knowledge-based techniques

With the growth of the Internet, it is much more easier for plagiarists to copy the materials from the Internet and put them in their own documents without the permission of the original authors. Plagiarists usually modify the copied materials to prevent from being detected. Therefore, simple comparison of two documents is not sufficient for detecting plagiarism. In this paper, we present a knowledge-based approach to the detection of plagiarism. We analyze the types and behaviors of plagiarism and describe documents to be test in form of graph structures. The problem of detecting plagiarism then becomes the comparison of similarity among these structures. Experimental results show that our approach is workable and effective.