Bibliometric and Patentary Prospecting of Technologies with Artificial Intelligence Applicable to Smart Cities

Detalhes bibliográficos
Autor(a) principal: Santos, Vagner Simões
Data de Publicação: 2022
Outros Autores: Ribeiro, Núbia Moura, Lima, Angela Maria Ferreira, Santos, Alex Sousa
Tipo de documento: Artigo
Idioma: por
Título da fonte: Cadernos de Prospecção (Online)
Texto Completo: https://periodicos.ufba.br/index.php/nit/article/view/46120
Resumo: With the advent of artificial intelligence, several solutions began to emerge that are premised on autonomy and guided computer learning. This study aims to carry out a prospection based on patents and scientific publications, verifying the state of the art and technique of solutions that implement artificial intelligence aimed at smart cities. This work presents a qualitative-quantitative approach, of an exploratory nature, through research in journals and patent prospecting. Based on the results, academic publications and patent families were analyzed. Thus, China, the United States and Korea were identified as working scientifically and patently in the development of Artificial Intelligence technologies applicable to Smart Cities. It is concluded that the application of these technologies for autonomous and guided decisions reveals itself as a promising area, favoring new research, especially with solutions in the field of urban mobility, security and management.
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spelling Bibliometric and Patentary Prospecting of Technologies with Artificial Intelligence Applicable to Smart CitiesProspecção Bibliométrica e Patentária de Tecnologias com Inteligência Artificial Aplicáveis a Smart CitiesCidade Inteligente Gestão Pública Inteligência Artificial. Smart CityPublic Management Artificial Intelligence. With the advent of artificial intelligence, several solutions began to emerge that are premised on autonomy and guided computer learning. This study aims to carry out a prospection based on patents and scientific publications, verifying the state of the art and technique of solutions that implement artificial intelligence aimed at smart cities. This work presents a qualitative-quantitative approach, of an exploratory nature, through research in journals and patent prospecting. Based on the results, academic publications and patent families were analyzed. Thus, China, the United States and Korea were identified as working scientifically and patently in the development of Artificial Intelligence technologies applicable to Smart Cities. It is concluded that the application of these technologies for autonomous and guided decisions reveals itself as a promising area, favoring new research, especially with solutions in the field of urban mobility, security and management.Com o advento da inteligência artificial, começaram a surgir diversas soluções que têm como premissas a autonomia e o aprendizado computacional guiado. Este estudo tem por objetivo realizar uma prospecção na base de patentes e em publicações científicas, verificando o estado da arte e da técnica das soluções que implementam inteligência artificial voltadas para Smart Cities. Este trabalho apresenta uma abordagem quali-quantitativa, de natureza exploratória, por meio de pesquisas em periódicos e de prospecção de patentes. Com base nos resultados, foram analisadas as publicações acadêmicas e as famílias de patentes. Assim, foram identificadas a China, os Estados Unidos e a Coreia que atuam científica e patentariamente no desenvolvimento de tecnologias de Inteligência Artificial aplicáveis a Smart Cities. Conclui-se que a aplicação dessas tecnologias para decisões autônomas e guiadas revela-se como uma área promissora, favorecendo novas pesquisas, sobretudo com soluções no campo da mobilidade urbana, da segurança e da gestão.Universidade Federal da Bahia2022-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/4612010.9771/cp.v15i2.46120Cadernos de Prospecção; Vol. 15 No. 2 (2022); 523-540Cadernos de Prospecção; v. 15 n. 2 (2022); 523-5402317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/46120/26468Copyright (c) 2022 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSantos, Vagner SimõesRibeiro, Núbia MouraLima, Angela Maria FerreiraSantos, Alex Sousa2022-04-01T13:01:18Zoai:ojs.periodicos.ufba.br:article/46120Revistahttps://periodicos.ufba.br/index.php/nitPUBhttps://periodicos.ufba.br/index.php/nit/oaicadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com2317-00261983-1358opendoar:2022-04-01T13:01:18Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false
dc.title.none.fl_str_mv Bibliometric and Patentary Prospecting of Technologies with Artificial Intelligence Applicable to Smart Cities
Prospecção Bibliométrica e Patentária de Tecnologias com Inteligência Artificial Aplicáveis a Smart Cities
title Bibliometric and Patentary Prospecting of Technologies with Artificial Intelligence Applicable to Smart Cities
spellingShingle Bibliometric and Patentary Prospecting of Technologies with Artificial Intelligence Applicable to Smart Cities
Santos, Vagner Simões
Cidade Inteligente
Gestão Pública
Inteligência Artificial.
Smart City
Public Management
Artificial Intelligence.
title_short Bibliometric and Patentary Prospecting of Technologies with Artificial Intelligence Applicable to Smart Cities
title_full Bibliometric and Patentary Prospecting of Technologies with Artificial Intelligence Applicable to Smart Cities
title_fullStr Bibliometric and Patentary Prospecting of Technologies with Artificial Intelligence Applicable to Smart Cities
title_full_unstemmed Bibliometric and Patentary Prospecting of Technologies with Artificial Intelligence Applicable to Smart Cities
title_sort Bibliometric and Patentary Prospecting of Technologies with Artificial Intelligence Applicable to Smart Cities
author Santos, Vagner Simões
author_facet Santos, Vagner Simões
Ribeiro, Núbia Moura
Lima, Angela Maria Ferreira
Santos, Alex Sousa
author_role author
author2 Ribeiro, Núbia Moura
Lima, Angela Maria Ferreira
Santos, Alex Sousa
author2_role author
author
author
dc.contributor.author.fl_str_mv Santos, Vagner Simões
Ribeiro, Núbia Moura
Lima, Angela Maria Ferreira
Santos, Alex Sousa
dc.subject.por.fl_str_mv Cidade Inteligente
Gestão Pública
Inteligência Artificial.
Smart City
Public Management
Artificial Intelligence.
topic Cidade Inteligente
Gestão Pública
Inteligência Artificial.
Smart City
Public Management
Artificial Intelligence.
description With the advent of artificial intelligence, several solutions began to emerge that are premised on autonomy and guided computer learning. This study aims to carry out a prospection based on patents and scientific publications, verifying the state of the art and technique of solutions that implement artificial intelligence aimed at smart cities. This work presents a qualitative-quantitative approach, of an exploratory nature, through research in journals and patent prospecting. Based on the results, academic publications and patent families were analyzed. Thus, China, the United States and Korea were identified as working scientifically and patently in the development of Artificial Intelligence technologies applicable to Smart Cities. It is concluded that the application of these technologies for autonomous and guided decisions reveals itself as a promising area, favoring new research, especially with solutions in the field of urban mobility, security and management.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-01
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://periodicos.ufba.br/index.php/nit/article/view/46120
10.9771/cp.v15i2.46120
url https://periodicos.ufba.br/index.php/nit/article/view/46120
identifier_str_mv 10.9771/cp.v15i2.46120
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufba.br/index.php/nit/article/view/46120/26468
dc.rights.driver.fl_str_mv Copyright (c) 2022 Cadernos de Prospecção
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Cadernos de Prospecção
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal da Bahia
publisher.none.fl_str_mv Universidade Federal da Bahia
dc.source.none.fl_str_mv Cadernos de Prospecção; Vol. 15 No. 2 (2022); 523-540
Cadernos de Prospecção; v. 15 n. 2 (2022); 523-540
2317-0026
1983-1358
reponame:Cadernos de Prospecção (Online)
instname:Universidade Federal da Bahia (UFBA)
instacron:UFBA
instname_str Universidade Federal da Bahia (UFBA)
instacron_str UFBA
institution UFBA
reponame_str Cadernos de Prospecção (Online)
collection Cadernos de Prospecção (Online)
repository.name.fl_str_mv Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)
repository.mail.fl_str_mv cadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com
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