Intelligent Bar Chart Plagiarism Detection in Documents
Identifieur interne : 000098 ( Main/Exploration ); précédent : 000097; suivant : 000099Intelligent Bar Chart Plagiarism Detection in Documents
Auteurs : Mohammed Mumtaz Al-Dabbagh [Malaisie, Iraq] ; Naomie Salim [Malaisie] ; Amjad Rehman [Arabie saoudite] ; Mohammed Hazim Alkawaz [Malaisie, Iraq] ; Tanzila Saba [Arabie saoudite] ; Mznah Al-Rodhaan [Arabie saoudite] ; Abdullah Al-Dhelaan [Arabie saoudite]Source :
- The Scientific World Journal [ 2356-6140 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
Abstract
This paper presents a novel features mining approach from documents that could not be mined via optical character recognition (OCR). By identifying the intimate relationship between the text and graphical components, the proposed technique pulls out the Start, End, and Exact values for each bar. Furthermore, the word 2-gram and Euclidean distance methods are used to accurately detect and determine plagiarism in bar charts.
Url:
DOI: 10.1155/2014/612787
PubMed: 25309952
PubMed Central: 4182899
Affiliations:
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Le document en format XML
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first="Mohammed Mumtaz" last="Al-Dabbagh">Mohammed Mumtaz Al-Dabbagh</name><affiliation wicri:level="1"><nlm:aff id="I1">Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia</nlm:aff><country xml:lang="fr">Malaisie</country><wicri:regionArea>Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor</wicri:regionArea><wicri:noRegion>Johor</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="I2">Faculty of Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq</nlm:aff><country xml:lang="fr">Iraq</country><wicri:regionArea>Faculty of Computer Sciences and Mathematics, University of Mosul, Mosul</wicri:regionArea><wicri:noRegion>Mosul</wicri:noRegion></affiliation></author><author><name sortKey="Salim, Naomie" sort="Salim, Naomie" uniqKey="Salim N" first="Naomie" last="Salim">Naomie Salim</name><affiliation wicri:level="1"><nlm:aff id="I1">Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia</nlm:aff><country xml:lang="fr">Malaisie</country><wicri:regionArea>Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor</wicri:regionArea><wicri:noRegion>Johor</wicri:noRegion></affiliation></author><author><name sortKey="Rehman, Amjad" sort="Rehman, Amjad" uniqKey="Rehman A" first="Amjad" last="Rehman">Amjad Rehman</name><affiliation wicri:level="1"><nlm:aff id="I3">MIS Department, CBA, Salman Bin Abdulaziz University, Alkharj, Saudi Arabia</nlm:aff><country xml:lang="fr">Arabie saoudite</country><wicri:regionArea>MIS Department, CBA, Salman Bin Abdulaziz University, Alkharj</wicri:regionArea><wicri:noRegion>Alkharj</wicri:noRegion></affiliation></author><author><name sortKey="Alkawaz, Mohammed Hazim" sort="Alkawaz, Mohammed Hazim" uniqKey="Alkawaz M" first="Mohammed Hazim" last="Alkawaz">Mohammed Hazim Alkawaz</name><affiliation wicri:level="1"><nlm:aff id="I1">Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, 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Riyadh</wicri:regionArea><wicri:noRegion>Riyadh</wicri:noRegion></affiliation></author><author><name sortKey="Al Rodhaan, Mznah" sort="Al Rodhaan, Mznah" uniqKey="Al Rodhaan M" first="Mznah" last="Al-Rodhaan">Mznah Al-Rodhaan</name><affiliation wicri:level="1"><nlm:aff id="I5">Computer Science Department, College of Computer & Information Sciences, King Saud University, Riyadh, Saudi Arabia</nlm:aff><country xml:lang="fr">Arabie saoudite</country><wicri:regionArea>Computer Science Department, College of Computer & Information Sciences, King Saud University, Riyadh</wicri:regionArea><wicri:noRegion>Riyadh</wicri:noRegion></affiliation></author><author><name sortKey="Al Dhelaan, Abdullah" sort="Al Dhelaan, Abdullah" uniqKey="Al Dhelaan A" first="Abdullah" last="Al-Dhelaan">Abdullah Al-Dhelaan</name><affiliation wicri:level="1"><nlm:aff id="I5">Computer Science Department, College of Computer & Information Sciences, King Saud University, Riyadh, Saudi Arabia</nlm:aff><country xml:lang="fr">Arabie saoudite</country><wicri:regionArea>Computer Science Department, College of Computer & Information Sciences, King Saud University, Riyadh</wicri:regionArea><wicri:noRegion>Riyadh</wicri:noRegion></affiliation></author></analytic><series><title level="j">The Scientific World Journal</title><idno type="ISSN">2356-6140</idno><idno type="eISSN">1537-744X</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Artificial Intelligence</term><term>Computer Graphics</term><term>Data Mining (methods)</term><term>Humans</term><term>Pattern Recognition, Automated (methods)</term><term>Plagiarism</term><term>Semantics</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Data Mining</term><term>Pattern Recognition, Automated</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Artificial Intelligence</term><term>Computer Graphics</term><term>Humans</term><term>Plagiarism</term><term>Semantics</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>This paper presents a novel features mining approach from documents that could not be mined via optical character recognition (OCR). By identifying the intimate relationship between the text and graphical components, the proposed technique pulls out the Start, End, and Exact values for each bar. Furthermore, the word 2-gram and Euclidean distance methods are used to accurately detect and determine plagiarism in bar charts.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="El Tahir Ali, Am" uniqKey="El Tahir Ali A">AM El Tahir Ali</name></author><author><name sortKey="Abdulla, Hmd" uniqKey="Abdulla H">HMD Abdulla</name></author><author><name sortKey="Snasel, V" uniqKey="Snasel V">V Snasel</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Rehman, A" uniqKey="Rehman A">A Rehman</name></author><author><name sortKey="Saba, T" uniqKey="Saba T">T Saba</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Rehman, A" uniqKey="Rehman A">A Rehman</name></author><author><name sortKey="Saba, T" uniqKey="Saba T">T Saba</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Alzahrani, Sm" uniqKey="Alzahrani S">SM 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saoudite"><noRegion><name sortKey="Rehman, Amjad" sort="Rehman, Amjad" uniqKey="Rehman A" first="Amjad" last="Rehman">Amjad Rehman</name></noRegion><name sortKey="Al Dhelaan, Abdullah" sort="Al Dhelaan, Abdullah" uniqKey="Al Dhelaan A" first="Abdullah" last="Al-Dhelaan">Abdullah Al-Dhelaan</name><name sortKey="Al Rodhaan, Mznah" sort="Al Rodhaan, Mznah" uniqKey="Al Rodhaan M" first="Mznah" last="Al-Rodhaan">Mznah Al-Rodhaan</name><name sortKey="Saba, Tanzila" sort="Saba, Tanzila" uniqKey="Saba T" first="Tanzila" last="Saba">Tanzila Saba</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000098 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000098 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= OcrV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= PMC:4182899
|texte= Intelligent Bar Chart Plagiarism Detection in Documents
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:25309952" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a OcrV1
| This area was generated with Dilib version V0.6.32. |  |