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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F11%3A86092968%21RIV15-MSM-27240___
rdf:type
skos:Concept n19:Vysledek
dcterms:description
Existing anti-plagiarism tools are, in fact, text matching systems but do not make accurate judgments about plagiarism. Texts that are acceptable to be redundant and texts that are cited properly are all highlighted as plagiarism, and the real decision of plagiarism is left up to the user. To reduce the human input and to give more reliance to automatic plagiarism detectors, we propose an Intelligent Plagiarism Reasoner (iPlag), which works by combining several analytical procedures. Scholarly documents under investigation are segmented into logical tree-structured representation using a procedure called D-SEGMENT. Statistical methods are utilised to assign numerical weights to structural components under a technique called C-WEIGHT. Relevance ranking (R-RANK) and plagiarism screening approaches (P-SCREEN) are adjusted to incorporate structural weights, citation evidences, syntax-based and semantic-based methods into plagiarism detection results. We encourage current plagiarism detection systems to adapt the proposed framework. 2011 IEEE. Existing anti-plagiarism tools are, in fact, text matching systems but do not make accurate judgments about plagiarism. Texts that are acceptable to be redundant and texts that are cited properly are all highlighted as plagiarism, and the real decision of plagiarism is left up to the user. To reduce the human input and to give more reliance to automatic plagiarism detectors, we propose an Intelligent Plagiarism Reasoner (iPlag), which works by combining several analytical procedures. Scholarly documents under investigation are segmented into logical tree-structured representation using a procedure called D-SEGMENT. Statistical methods are utilised to assign numerical weights to structural components under a technique called C-WEIGHT. Relevance ranking (R-RANK) and plagiarism screening approaches (P-SCREEN) are adjusted to incorporate structural weights, citation evidences, syntax-based and semantic-based methods into plagiarism detection results. We encourage current plagiarism detection systems to adapt the proposed framework. 2011 IEEE.
dcterms:title
iPlag: Intelligent plagiarism reasoner in scientific publications iPlag: Intelligent plagiarism reasoner in scientific publications
skos:prefLabel
iPlag: Intelligent plagiarism reasoner in scientific publications iPlag: Intelligent plagiarism reasoner in scientific publications
skos:notation
RIV/61989100:27240/11:86092968!RIV15-MSM-27240___
n3:aktivita
n18:S
n3:aktivity
S
n3:dodaniDat
n6:2015
n3:domaciTvurceVysledku
Abraham Padath, Ajith
n3:druhVysledku
n14:D
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
205806
n3:idVysledku
RIV/61989100:27240/11:86092968
n3:jazykVysledku
n12:eng
n3:klicovaSlova
semantic; scientific publications; plagiarism detection; intelligent reasoner
n3:klicoveSlovo
n10:semantic n10:plagiarism%20detection n10:scientific%20publications n10:intelligent%20reasoner
n3:kontrolniKodProRIV
[A110E51E2662]
n3:mistoKonaniAkce
Mumbai
n3:mistoVydani
New York
n3:nazevZdroje
Proceedings of the 2011 World Congress on Information and Communication Technologies, WICT 2011
n3:obor
n8:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
4
n3:rokUplatneniVysledku
n6:2011
n3:tvurceVysledku
Alzahrani, S. Abraham Padath, Ajith Salim, N. Palade, V.
n3:typAkce
n4:WRD
n3:zahajeniAkce
2011-12-11+01:00
s:numberOfPages
6
n5:doi
10.1109/WICT.2011.6141191
n17:hasPublisher
IEEE
n9:isbn
978-1-4673-0125-1
n16:organizacniJednotka
27240