Using Structural Information and Citation Evidence to Detect Significant Plagiarism Cases in Scientific Publications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084522" target="_blank" >RIV/61989100:27240/12:86084522 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1002/asi.21651" target="_blank" >http://dx.doi.org/10.1002/asi.21651</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/asi.21651" target="_blank" >10.1002/asi.21651</a>
Alternative languages
Result language
angličtina
Original language name
Using Structural Information and Citation Evidence to Detect Significant Plagiarism Cases in Scientific Publications
Original language description
In plagiarism detection (PD) systems, two important problems should be considered: the problem of retrieving candidate documents that are globally similar to a document q under investigation, and the problem of side-by-side comparison of q and its candidates to pinpoint plagiarized fragments in detail. In this article, the authors investigate the usage of structural information of scientific publications in both problems, and the consideration of citation evidence in the second problem. Three statistical measures namely Inverse Generic Class Frequency, Spread, and Depth are introduced to assign a degree of importance (i.e., weight) to structural components in scientific articles. A term-weighting scheme is adjusted to incorporate component-weight factors, which is used to improve the retrieval of potential sources of plagiarism. A plagiarism screening process is applied based on a measure of resemblance, in which component-weight factors are exploited to ignore less or nonsignificant p
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of the American Society for Information Science and Technology
ISSN
1532-2882
e-ISSN
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Volume of the periodical
63
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
27
Pages from-to
286-312
UT code for WoS article
000302157900007
EID of the result in the Scopus database
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