Show simple item record Borges, Eduardo Nunes Becker, Karin Heuser, Carlos Galante, Renata 2012-01-07T22:47:43Z 2012-01-07T22:47:43Z 2011
dc.identifier.citation BORGES, Eduardo et al. An automatic approach for duplicate bibliographic metadata identification using classification. In: INTERNATIONAL CONFERENCE OF THE CHILEAN COMPUTER SCIENCE SOCIETY, 30., 2011, Curicó. Anais eletrônicos... Curicó, 2011. Disponível em: <>. Acesso em: 24 dez. 2011. pt_BR
dc.description.abstract References are the main descriptive metadata used by digital libraries of scientific articles. These references can be represented by several formats and styles. Although considerable content variations can also occur in some metadata fields such as title, author names and publication venue. Duplicate records influence the quality of digital library services once they need to be appropriately identified and treated. This paper presents an approach to identifying duplicated bibliographic metadata. We extend our previous work so that instead of setting thresholds based on the scores returned by similarity functions, we use the scores to train classification algorithms which automatically identify duplicated references. The experiments show that the classifiers increases up to 11% the quality of results when compared to our unsupervised heuristic-based approach. pt_BR
dc.language.iso eng pt_BR
dc.rights open access pt_BR
dc.subject Classification algorithms pt_BR
dc.subject Information representation pt_BR
dc.subject Information management pt_BR
dc.title An automatic approach for duplicate bibliographic metadata identification using classification pt_BR
dc.type conferenceObject pt_BR

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