About: Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://dblp.uni-trier.de/db/conf/clef/clef2012w.html#SuchomelKB12
Description	In this paper, we describe our approach at the PAN 2012 plagiarism detection competition. Our candidate retrieval system is based on extraction of three different types of Web queries with narrowing their execution by skipping certain passages of an input document. We have created queries based on keywords extraction, intrinsic plagiarism detection and headers extraction. We have also compared the performance of constructed queries used during the PAN 2012 test process. The proposed methodology was the best performing one in case of long term operation and also the most cost-effective one. Our detailed comparison system is based on detecting common features of several types (in the final submission, we have used two types of features: sorted word 5-grams and unsorted stop word 8-grams) in the input document pair. We propose a method of computing so called valid intervals from those features, represented by their offset and length attributes in both source and suspicious document. In this paper, we describe our approach at the PAN 2012 plagiarism detection competition. Our candidate retrieval system is based on extraction of three different types of Web queries with narrowing their execution by skipping certain passages of an input document. We have created queries based on keywords extraction, intrinsic plagiarism detection and headers extraction. We have also compared the performance of constructed queries used during the PAN 2012 test process. The proposed methodology was the best performing one in case of long term operation and also the most cost-effective one. Our detailed comparison system is based on detecting common features of several types (in the final submission, we have used two types of features: sorted word 5-grams and unsorted stop word 8-grams) in the input document pair. We propose a method of computing so called valid intervals from those features, represented by their offset and length attributes in both source and suspicious document. (en)
Title	Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection (en)
skos:prefLabel	Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection (en)
skos:notation	RIV/00216224:14330/12:00062678!RIV13-MSM-14330___
http://linked.open...avai/predkladatel	Fakulta informatiky
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(LA09016)
http://linked.open...iv/cisloPeriodika	September
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Suchomel, Šimon Brandejs, Michal Kasprzak, Jan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	174385
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/12:00062678
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	plagiarism; document similarity; external plagiarism; intrinsic plagiarism; candidate document retrieval; web search; queries construction; common features (en)
http://linked.open.../riv/klicoveSlovo	candidate document retrieval common features document similarity external plagiarism intrinsic plagiarism queries construction web search plagiarism
http://linked.open...odStatuVydavatele	IT - Italská republika
http://linked.open...ontrolniKodProRIV	[E055AE4EDD0F]
http://linked.open...i/riv/nazevZdroje	CLEF (Online Working Notes/Labs/Workshop)
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Czech Republic membership in the European Research Consortium for Informatics and Mathematics (ERCIM)
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	2012
http://linked.open...iv/tvurceVysledku	Brandejs, Michal Kasprzak, Jan Suchomel, Šimon
issn	2038-4963
number of pages	12 (xsd:int)
http://localhost/t...ganizacniJednotka	14330
is http://linked.open...avai/riv/vysledek of	Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection

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