Detalhes bibliográficos
Ano de defesa: |
2011 |
Autor(a) principal: |
CANUTO, Sérgio Daniel Carvalho
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Orientador(a): |
ROSA, Thierson Couto
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Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal de Goiás
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Programa de Pós-Graduação: |
Mestrado em Ciência da Computação
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Departamento: |
Ciências Exatas e da Terra - Ciências da Computação
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País: |
BR
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Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://repositorio.bc.ufg.br/tede/handle/tde/514
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Resumo: |
In this work we investigate two classes of solutions for the problem of author name disambiguation.We refer to the approach of the first class as relational based on attributes (RBA) solutions. These approaches use similarity measures based on attributes of the two references being compared or based on the attributes of other references connected to them by authorship. The other class of approaches uses information on semantic relationships among entities in addition to attribute based similarity measures to decide if two references refer to the same author. We refer to the approaches of this class as relational based on entities (RBE) solutions. We present a supervised version of the RBE based on the work introduced by Bhattacharya and Gettor [7]. In the experiments we conducted our RBE solution presented statistically significant gains in efficacy over all the other methods studied. However, the gains are only marginal over the RBA methods experimented. On the other hand, the execution time of both training and testing phases of the RBE methods are notably greater than those of the RBA methods. As far as we know there is no other similar study reported in literature and we consider the results reported here are relevant because they inspire research about enhancing RBA solutions. |