SyGAR – A synthetic data generator for evaluating name disambiguation methods.

dc.contributor.authorFerreira, Anderson Almeida
dc.contributor.authorGonçalves, Marcos André
dc.contributor.authorAlmeida, Jussara Marques de
dc.contributor.authorLaender, Alberto Henrique Frade
dc.contributor.authorVeloso, Adriano Alonso
dc.date.accessioned2012-10-22T20:36:11Z
dc.date.available2012-10-22T20:36:11Z
dc.date.issued2009
dc.description.abstractName 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.pt_BR
dc.identifier.citationFERREIRA, 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.pt_BR
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/1732
dc.language.isoen_USpt_BR
dc.titleSyGAR – A synthetic data generator for evaluating name disambiguation methods.pt_BR
dc.typeTrabalho apresentado em eventopt_BR
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