Efficient Identification of Duplicate Bibliographical References
In this work we present an approach to extract and to structure bibliographical references from BibTex files, allowing the identification of the duplicate ones, which can appear slightly different in different files. To deal with this problem, existing systems use classifiers, clustering or others algorithms, allied with an Edit Distance metric, to distinguish between duplicate
Vinícius Veloso de Melo is an Assistant Professor of Computer Science at