Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/1732
Title: SyGAR – A synthetic data generator for evaluating name disambiguation methods.
Authors: Ferreira, Anderson Almeida
Gonçalves, Marcos André
Almeida, Jussara Marques de
Laender, Alberto Henrique Frade
Veloso, Adriano Alonso
Issue Date: 2009
Citation: FERREIRA, A. A. et al. SyGAR – A synthetic data generator for evaluating name disambiguation methods. In. Research and Advanced Technology for Digital Libraries,13,. 2009. Corfu. Anais... Corfu: Research and Advanced Technology for Digital Libraries, 2009. Disponível em: <http://homepages.dcc.ufmg.br/~adrianov/papers/ECDL09/ecdl09.pdf>. Acesso em: 22 out. 2012.
Abstract: Name ambiguity in the context of bibliographic citations is one of the hardest problems currently faced by the digital library community. Several methods have been proposed in the literature, but none of them provides the perfect solution for the problem. More importantly, basically all of these methods were tested in limited and restricted scenarios , which raises concerns about their practical applicability. In this work, we deal with these limitation s by proposing a synthetic generator of ambiguous authors hip records called SyGAR . The generator was validated against a gold standard collection of d is ambiguated records , and aplied to evaluate three d is ambiguation method s in a relevant scenario.
URI: http://www.repositorio.ufop.br/handle/123456789/1732
Appears in Collections:DECOM - Trabalhos apresentados em eventos

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