Publikation: Citation-based plagiarism detection : detecting disguised and cross-language plagiarism using citation pattern analysis
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
Plagiarism is a problem with far-reaching consequences for the sciences. However, even today’s best software-based systems can only reliably identify copy & paste plagiarism. Disguised plagiarism forms, including paraphrased text, cross-language plagiarism, as well as structural and idea plagiarism often remain undetected. This weakness of current systems results in a large percentage of scientific plagiarism going undetected. Bela Gipp provides an overview of the state-of-the art in plagiarism detection and an analysis of why these approaches fail to detect disguised plagiarism forms. The author proposes Citation-based Plagiarism Detection to address this shortcoming. Unlike character-based approaches, this approach does not rely on text comparisons alone, but analyzes citation patterns within documents to form a language-independent "semantic fingerprint" for similarity assessment. The practicability of Citation-based Plagiarism Detection was proven by its capability to identify so-far non-machine detectable plagiarism in scientific publications.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
GIPP, Bela, 2014. Citation-based plagiarism detection : detecting disguised and cross-language plagiarism using citation pattern analysis [Dissertation]. Magdeburg: Univ.. Wiesbaden: Springer Vieweg. ISBN 978-3-658-06393-1BibTex
@phdthesis{Gipp2014Citat-30290,
year={2014},
doi={10.1007/978-3-658-06394-8},
publisher={Springer Vieweg},
title={Citation-based plagiarism detection : detecting disguised and cross-language plagiarism using citation pattern analysis},
address={Magdeburg},
school={Univ.},
author={Gipp, Bela}
}RDF
<rdf:RDF
xmlns:dcterms="http://purl.org/dc/terms/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:bibo="http://purl.org/ontology/bibo/"
xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
xmlns:foaf="http://xmlns.com/foaf/0.1/"
xmlns:void="http://rdfs.org/ns/void#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#" >
<rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/30290">
<dcterms:issued>2014</dcterms:issued>
<foaf:homepage rdf:resource="http://localhost:8080/"/>
<dc:creator>Gipp, Bela</dc:creator>
<bibo:issn>978-3-658-06393-1</bibo:issn>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-03-16T10:30:40Z</dc:date>
<dcterms:title>Citation-based plagiarism detection : detecting disguised and cross-language plagiarism using citation pattern analysis</dcterms:title>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dc:publisher>Wiesbaden</dc:publisher>
<dc:language>eng</dc:language>
<dcterms:abstract xml:lang="eng">Plagiarism is a problem with far-reaching consequences for the sciences. However, even today’s best software-based systems can only reliably identify copy & paste plagiarism. Disguised plagiarism forms, including paraphrased text, cross-language plagiarism, as well as structural and idea plagiarism often remain undetected. This weakness of current systems results in a large percentage of scientific plagiarism going undetected. Bela Gipp provides an overview of the state-of-the art in plagiarism detection and an analysis of why these approaches fail to detect disguised plagiarism forms. The author proposes Citation-based Plagiarism Detection to address this shortcoming. Unlike character-based approaches, this approach does not rely on text comparisons alone, but analyzes citation patterns within documents to form a language-independent "semantic fingerprint" for similarity assessment. The practicability of Citation-based Plagiarism Detection was proven by its capability to identify so-far non-machine detectable plagiarism in scientific publications.</dcterms:abstract>
<bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/30290"/>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-03-16T10:30:40Z</dcterms:available>
<dc:contributor>Gipp, Bela</dc:contributor>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dc:publisher>Springer Vieweg</dc:publisher>
</rdf:Description>
</rdf:RDF>