Identifying Related Work and Plagiarism by Citation Analysis
Lade...
Dateien
Datum
2011
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
EU-Projektnummer
DFG-Projektnummer
Projekt
Open Access-Veröffentlichung
Sammlungen
Titel in einer weiteren Sprache
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
unikn.publication.listelement.citation.prefix.version.undefined
Bulletin of IEEE Technical Committee on Digital Libraries. 2011, 7(1). ISSN 1937-7266
Zusammenfassung
This updated and revised paper gives an overview of my PhD research. It focuses on two newly developed approaches. Citation Proximity Analysis (CPA) allows the identification of related work by analyzing the co-occurrence of citations within documents. In contrast to co-citation analysis various factors, such as the proximity of citations to each other, are taken into account. The second approach is called Citation based Plagiarism Detection (CbPD). In comparison to the currently used text-based plagiarism detection approaches this citation-analyzing approach enables a better detection rate in identifying plagiarism forms such as paraphrasing, translations and idea plagiarism.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Document Similarity, Relatedness, Clustering, Plagiarism Detection, Duplicate Detection, Citation Analysis, Citation Proximity Analysis, Citation Order Analysis, Language Independent
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
GIPP, Bela, 2011. Identifying Related Work and Plagiarism by Citation Analysis. In: Bulletin of IEEE Technical Committee on Digital Libraries. 2011, 7(1). ISSN 1937-7266BibTex
@article{Gipp2011Ident-31327, year={2011}, title={Identifying Related Work and Plagiarism by Citation Analysis}, number={1}, volume={7}, issn={1937-7266}, journal={Bulletin of IEEE Technical Committee on Digital Libraries}, 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/123456789/31327"> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:contributor>Gipp, Bela</dc:contributor> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-07-01T06:33:58Z</dc:date> <dc:language>eng</dc:language> <dcterms:issued>2011</dcterms:issued> <dcterms:title>Identifying Related Work and Plagiarism by Citation Analysis</dcterms:title> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/31327/1/Gipp_0-285689.pdf"/> <dcterms:abstract xml:lang="eng">This updated and revised paper gives an overview of my PhD research. It focuses on two newly developed approaches. Citation Proximity Analysis (CPA) allows the identification of related work by analyzing the co-occurrence of citations within documents. In contrast to co-citation analysis various factors, such as the proximity of citations to each other, are taken into account. The second approach is called Citation based Plagiarism Detection (CbPD). In comparison to the currently used text-based plagiarism detection approaches this citation-analyzing approach enables a better detection rate in identifying plagiarism forms such as paraphrasing, translations and idea plagiarism.</dcterms:abstract> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/31327"/> <dc:creator>Gipp, Bela</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-07-01T06:33:58Z</dcterms:available> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/31327/1/Gipp_0-285689.pdf"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:rights>terms-of-use</dc:rights> </rdf:Description> </rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein