Automatic identification of academic profiles using author name disambiguation
The author name disambiguation is a fundamental activity in bibliometric studies, in particular in those that use different sources of information. The objective of this paper is to propose and test an author name disambiguation strategy in order to allow the automatic identification of the Google A...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Brasil |
| Institución: | Universidade Federal do Rio Grande do Sul (UFRGS) |
| Repositorio: | Em Questão (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:seer.ufrgs.br:article/74064 |
| Acceso en línea: | https://seer.ufrgs.br/index.php/EmQuestao/article/view/74064 |
| Access Level: | acceso abierto |
| Palabra clave: | Desambiguação de nomes Resolução de entidades Bibliometria Author name disambiguation Entity resolution Bibliometrics. |
| Sumario: | The author name disambiguation is a fundamental activity in bibliometric studies, in particular in those that use different sources of information. The objective of this paper is to propose and test an author name disambiguation strategy in order to allow the automatic identification of the Google Academic profile of researchers. The proposed strategy is based on the search for the profiles in Google Scholar, followed by a name matching process. Additionally, the academic publications that are registered in the researcher’s Lattes curriculum and Google Scholar profile are compared. Lastly, the name resolution is carried out by verifying among the compatible profiles the one with the highest evidence of belonging to the respective researcher. A case study involving researchers from the University of São Paulo was conducted, and the automated system was able to correctly identify 4,283 Google Scholar profiles. A coverage analysis showed that the system was able to find about 95% of the profiles of the researchers who have this information, and no false-positive was identified. |
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