Um Estudo Bibliométrico sobre a pesquisa em Inteligência Artificial no Brasil

Detalhes bibliográficos
Autor(a) principal: Castro Groenner, Luciana
Data de Publicação: 2022
Outros Autores: Innocentini Lopes de Faria, Leandro, César Perissini, Rodrigo, de Souza Gracioso, Luciana
Tipo de documento: Artigo
Idioma: por
Título da fonte: Brazilian Journal of Information Science
Texto Completo: https://revistas.marilia.unesp.br/index.php/bjis/article/view/12855
Resumo: 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 (AI) has been crucial for data processing and use, being considered decisive for economic and social development. This work aimed to survey research on AI in 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 AI 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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spelling Um Estudo Bibliométrico sobre a pesquisa em Inteligência Artificial no BrasilInteligência ArtificialAprendizado de MáquinasBibliometriaIndicadores de TecnologiaArtificial IntelligenceMachine LearningBibliometricsTechnology IndicatorsThe 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 (AI) has been crucial for data processing and use, being considered decisive for economic and social development. This work aimed to survey research on AI in 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 AI 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.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 (IA) 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 IA 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 IA 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 nesta produção apesar de discrepâncias regionais, o que poderia auxiliar no desenvolvimento de políticas públicas de inclusão tecnológica.Faculdade de Filosofia e Ciências2022-04-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/1285510.36311/1981-1640.2022.v16.e02147Brazilian Journal of Information Science: Research Trends; Vol. 16 (2022): Continuous publication; e02147Brazilian Journal of Information Science: Research Trends; Vol. 16 (2022): Publicación continua; e02147Brazilian Journal of Information Science: research trends; v. 16 (2022): Publicação contínua; e021471981-1640reponame:Brazilian Journal of Information Scienceinstname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)instacron:UNESPporhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/12855/8653Copyright (c) 2022 Sra. Luciana Groenner, Sr. Leandro Faria, Sr. Rodrigo Perissini, Sra. Luciana Graciosohttps://creativecommons.org/licenses/by-sa/4.0info:eu-repo/semantics/openAccessCastro Groenner, Luciana Innocentini Lopes de Faria, LeandroCésar Perissini, Rodrigode Souza Gracioso, Luciana2022-06-16T11:58:00Zoai:ojs.revistas.marilia.unesp.br:article/12855Revistahttps://revistas.marilia.unesp.br/index.php/bjis/indexPUBhttps://revistas.marilia.unesp.br/index.php/bjis/oaibrajis.marilia@unesp.br||1981-16401981-1640opendoar:2022-06-16T11:58Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)false
dc.title.none.fl_str_mv Um Estudo Bibliométrico sobre a pesquisa em Inteligência Artificial no Brasil
title Um Estudo Bibliométrico sobre a pesquisa em Inteligência Artificial no Brasil
spellingShingle Um Estudo Bibliométrico sobre a pesquisa em Inteligência Artificial no Brasil
Castro Groenner, Luciana
Inteligência Artificial
Aprendizado de Máquinas
Bibliometria
Indicadores de Tecnologia
Artificial Intelligence
Machine Learning
Bibliometrics
Technology Indicators
title_short Um Estudo Bibliométrico sobre a pesquisa em Inteligência Artificial no Brasil
title_full Um Estudo Bibliométrico sobre a pesquisa em Inteligência Artificial no Brasil
title_fullStr Um Estudo Bibliométrico sobre a pesquisa em Inteligência Artificial no Brasil
title_full_unstemmed Um Estudo Bibliométrico sobre a pesquisa em Inteligência Artificial no Brasil
title_sort Um Estudo Bibliométrico sobre a pesquisa em Inteligência Artificial no Brasil
author Castro Groenner, Luciana
author_facet Castro Groenner, Luciana
Innocentini Lopes de Faria, Leandro
César Perissini, Rodrigo
de Souza Gracioso, Luciana
author_role author
author2 Innocentini Lopes de Faria, Leandro
César Perissini, Rodrigo
de Souza Gracioso, Luciana
author2_role author
author
author
dc.contributor.author.fl_str_mv Castro Groenner, Luciana
Innocentini Lopes de Faria, Leandro
César Perissini, Rodrigo
de Souza Gracioso, Luciana
dc.subject.por.fl_str_mv Inteligência Artificial
Aprendizado de Máquinas
Bibliometria
Indicadores de Tecnologia
Artificial Intelligence
Machine Learning
Bibliometrics
Technology Indicators
topic Inteligência Artificial
Aprendizado de Máquinas
Bibliometria
Indicadores de Tecnologia
Artificial Intelligence
Machine Learning
Bibliometrics
Technology Indicators
description 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 (AI) has been crucial for data processing and use, being considered decisive for economic and social development. This work aimed to survey research on AI in 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 AI 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-14
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv https://revistas.marilia.unesp.br/index.php/bjis/article/view/12855
10.36311/1981-1640.2022.v16.e02147
url https://revistas.marilia.unesp.br/index.php/bjis/article/view/12855
identifier_str_mv 10.36311/1981-1640.2022.v16.e02147
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.marilia.unesp.br/index.php/bjis/article/view/12855/8653
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Faculdade de Filosofia e Ciências
publisher.none.fl_str_mv Faculdade de Filosofia e Ciências
dc.source.none.fl_str_mv Brazilian Journal of Information Science: Research Trends; Vol. 16 (2022): Continuous publication; e02147
Brazilian Journal of Information Science: Research Trends; Vol. 16 (2022): Publicación continua; e02147
Brazilian Journal of Information Science: research trends; v. 16 (2022): Publicação contínua; e02147
1981-1640
reponame:Brazilian Journal of Information Science
instname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Brazilian Journal of Information Science
collection Brazilian Journal of Information Science
repository.name.fl_str_mv Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
repository.mail.fl_str_mv brajis.marilia@unesp.br||
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