Um estudo bibliométrico sobre a pesquisa em inteligência artificial no Brasil

• Luciana Castro Groenner ^[1] ; Leandro Innocentini Lopes de Faria ^[1] ; Rodrigo César Perissini ^[1] ; Luciana de Souza Gracioso ^[1]
  1. [1] Universidade Federal de São Carlos

     Universidade Federal de São Carlos

     Brasil

     
• Localización: Brazilian Journal of Information Science, ISSN-e 1981-1640, Nº. 16, 2022
• Idioma: portugués
• DOI: 10.36311/1981-1640.2022.v16.e02147
• Títulos paralelos:
  • A bibliometric study on artificial intelligence research in Brazil
• Enlaces
  • Texto completo (pdf)
• Dialnet Métricas: 3 Citas
• Resumen
  • português

    A produção de fontes de dados tem aumentado nos últimos anos e operacionalizar o seu tratamento, recuperação e uso torna-se um desafio e um diferencial estratégico para os países que detém este domínio. O conhecimento sobre a Inteligência Artificial tem sido crucial para o processamento e uso dos dados, sendo considerado decisivo para o desenvolvimento econômico e social. Este trabalho teve como objetivo fazer um levantamento sobre a pesquisa em Inteligência Artificial no Brasil. Foi elaborada uma expressão de busca abrangente e foram obtidos artigos relacionados no período 2011-2020 na base Web of Science. A partir de métodos bibliométricos, os registros encontrados foram analisados nos softwares VantagePoint, VOSViewer e Excel. Foi realizada uma análise a respeito da participação da pesquisa brasileira em relação ao mundo, das principais instituições de pesquisa em Inteligência Artificial no país, dos principais temas de pesquisa e dos autores mais atuantes. Foram construídas redes de coocorrência de palavras-chave, de colaboração entre instituições e entre autores. Constatou-se que o Brasil possui uma participação periférica em relação a publicações, mas em crescimento e que as instituições públicas possuem um papel fundamental apesar de discrepâncias regionais, o que poderia auxiliar no desenvolvimento de políticas públicas de inclusão tecnológica.

  • English

    The production of data sources has increased in recent years and making their treatment, retrieval and use operational becomes a challenge and a strategic differential for the nations that have this domain. Knowledge about Artificial Intelligence has been crucial for data processing and use, being considered decisive for economic and social development. This work aimed to survey research on Artificial Intelligencein Brazil. A comprehensive search expression was created,and related articles were obtained for the period 2011-2020 in the Web of Science database. Using bibliometric methods, the obtained records were analyzed using the software VantagePoint, VOSViewer, and Excel. An analysis was carried out regarding the participation of Brazilian research in relation to the world, the main Artificial Intelligence research institutions in the country, the main research topics, and the most active authors. Keyword co-occurrence networks, the collaboration between institutions and between authors were built. It was found that Brazil has a peripheral but increasing participation in relation to publications and that public institutions have a fundamental role in this production despite regional discrepancies, which could help in the development of public policies for technological inclusion.

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