Copy detection mechanisms for digital documents
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
CHECK: a document plagiarism detection system
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
dSCAM: finding document copies across multiple databases
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Signature extraction for overlap detection in documents
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
Identifying Similar Code with Program Dependence Graphs
WCRE '01 Proceedings of the Eighth Working Conference on Reverse Engineering (WCRE'01)
Deducing similarities in Java sources from bytecodes
ATEC '98 Proceedings of the annual conference on USENIX Annual Technical Conference
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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.