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dc.contributor.author | Pertile, Solange de Lurdes | es_ES |
dc.contributor.author | Moreira, Viviane P. | es_ES |
dc.contributor.author | Rosso, Paolo | |
dc.date.accessioned | 2016-05-13T12:39:19Z | |
dc.date.available | 2016-05-13T12:39:19Z | |
dc.date.issued | 2015-07 | |
dc.identifier.issn | 2330-1643 | |
dc.identifier.uri | http://hdl.handle.net/10251/64032 | |
dc.description.abstract | The vast amount of scienti c publications available online makes it easier for students and researchers reusing text from other authors and makes it harder for checking the originality of a given text. Reusing text without crediting the original authors is considered plagiarism. A number of studies report on the high prevalence of plagiarism in academia. As a consequence, numerous institutions and researchers are dedicated to devising systems to automate the process of checking for plagiarism. This work focuses on the problem of detecting text reuse in scienti c papers. In this context, the contributions of this paper are twofold: (i) we survey the existing approaches for plagiarism detection based on content, based on content and structure, and based on citations and references; and (ii) we compare Content and Citation-based approaches with the goal of evaluating whether they are complementary and if their combination can improve the quality of the detection. We carried out experiments with real datasets of scienti c papers and concluded that a combination of the methods can be bene ficial. | es_ES |
dc.description.sponsorship | This work was funded by CNPq project 478979/2012-6. S. L. Pertile receives a grant from CAPES. We thank Parth Gupta for sharing his results with us. We are grateful to the anonymous reviewers who made several suggestions to improve the article. Finally, we thank the voluntary annotators for identifying the significant reuse cases. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Association for Information Science and Technology (ASIS&T): JASIS&T | es_ES |
dc.relation.ispartof | Journal of the Association for Information Science and Technology | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Comparing and Combining Content- and Citation-based Approaches for Plagiarism Detection | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1002/asi.23593 | |
dc.relation.projectID | info:eu-repo/grantAgreement/CNPq// 478979%2F2012-6%2FCAPES/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | Pertile, SDL.; Moreira, VP.; Rosso, P. (2015). Comparing and Combining Content- and Citation-based Approaches for Plagiarism Detection. Journal of the Association for Information Science and Technology. 1-16. https://doi.org/10.1002/asi.23593 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/ 10.1002/asi.23593 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 16 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.senia | 307027 | es_ES |
dc.contributor.funder | Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil | es_ES |