Um Estudo Bibliométrico sobre a pesquisa em Inteligência Artificial no Brasil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
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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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 |
format |
article |
status_str |
publishedVersion |
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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1797069099179704320 |