TY - GEN
T1 - Nowhere to hide
T2 - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
AU - Gustafson, Nathaniel
AU - Pera, Maria Soledad
AU - Ng, Yiu Kai
PY - 2008
Y1 - 2008
N2 - Plagiarism is a serious problem that infringes copyrighted documents/materials, which is an unethical practice and decreases the economic incentive received by authors (owners) of the original copies. Unfortunately, plagiarism is getting worse due to the increasing number of on-line publications on the Web, which facilitates locating and paraphrasing information. In solving this problem, we propose a novel plagiarism-detection method, called SimP aD, which (i) establishes the degree of resemblance between any two documents D1 and D2 based on their sentence-to-sentence similarity computed by using pre-defined word-correlation factors, and (ii) generates a graphical view of sentences that are similar (or the same) in D1 and D2. Experimental results verify that SimPaD is highly accurate in detecting (non-)plagiarized documents and outperforms existing plagiarism-detection approaches.
AB - Plagiarism is a serious problem that infringes copyrighted documents/materials, which is an unethical practice and decreases the economic incentive received by authors (owners) of the original copies. Unfortunately, plagiarism is getting worse due to the increasing number of on-line publications on the Web, which facilitates locating and paraphrasing information. In solving this problem, we propose a novel plagiarism-detection method, called SimP aD, which (i) establishes the degree of resemblance between any two documents D1 and D2 based on their sentence-to-sentence similarity computed by using pre-defined word-correlation factors, and (ii) generates a graphical view of sentences that are similar (or the same) in D1 and D2. Experimental results verify that SimPaD is highly accurate in detecting (non-)plagiarized documents and outperforms existing plagiarism-detection approaches.
UR - http://www.scopus.com/inward/record.url?scp=62949215789&partnerID=8YFLogxK
U2 - 10.1109/WIIAT.2008.16
DO - 10.1109/WIIAT.2008.16
M3 - Conference contribution
AN - SCOPUS:62949215789
SN - 9780769534961
T3 - Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
SP - 690
EP - 696
BT - Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
Y2 - 9 December 2008 through 12 December 2008
ER -