PI-DETECT: software for identifying Intellectual Property assets in academic-scientific documents

Detalhes bibliográficos
Autor(a) principal: Menino, Paulo Marcelo Ferreira
Data de Publicação: 2024
Outros Autores: Oliveira, Jeanfson Dutra de, Diniz, Cristovam Guerreiro, Melo, Mauro André Damasceno de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Cadernos de Prospecção (Online)
Texto Completo: https://periodicos.ufba.br/index.php/nit/article/view/56241
Resumo: The creation of Technological Innovation Centers (NIT) brought an advance in the innovation management process in academic environments, safeguarding institutional interests in the protection of Intellectual Property (IP) assets. This justifies the need to develop tools for monitoring potential assets contained in academic documents. This work aimed to create software to detect possible assets in these documents by mining terms related to the topic. The system was developed using technologies available for the web environment and all coding used VS Code, with web server simulation tests carried out in the XAMPP environment. The results showed the program's efficiency in describing a profile of correlated terms in documents with potential IP assets. Qualifying innovation managers for the appropriate use of the software will contribute to greater security regarding the inadequate disclosure of academic findings that can be protected.
id UFBA-6_d56d921866317e52018246852d6d5ebd
oai_identifier_str oai:ojs.periodicos.ufba.br:article/56241
network_acronym_str UFBA-6
network_name_str Cadernos de Prospecção (Online)
repository_id_str
spelling PI-DETECT: software for identifying Intellectual Property assets in academic-scientific documentsPI-DETECT: software para identificação de ativos de Propriedade Intelectual em documentos acadêmico científicosProgramaProteçãoCompostos Bioativos. ProgramProtectionAssets.The creation of Technological Innovation Centers (NIT) brought an advance in the innovation management process in academic environments, safeguarding institutional interests in the protection of Intellectual Property (IP) assets. This justifies the need to develop tools for monitoring potential assets contained in academic documents. This work aimed to create software to detect possible assets in these documents by mining terms related to the topic. The system was developed using technologies available for the web environment and all coding used VS Code, with web server simulation tests carried out in the XAMPP environment. The results showed the program's efficiency in describing a profile of correlated terms in documents with potential IP assets. Qualifying innovation managers for the appropriate use of the software will contribute to greater security regarding the inadequate disclosure of academic findings that can be protected.A criação dos Núcleos de Inovação Tecnológica (NIT) trouxe um avanço no processo de gestão da inovação nos ambientes acadêmicos, salvaguardando os interesses institucionais na proteção de ativos de Propriedade Intelectual (PI). Isso justifica a necessidade de desenvolvimento de ferramentas de acompanhamento de potenciais ativos contidos em documentos acadêmicos. Este trabalho objetivou a criação de um software para detectar possíveis ativos nesses documentos por meio da mineração de termos relacionados ao tema. O sistema foi desenvolvido utilizando tecnologias disponíveis para ambiente web, e toda a codificação utilizou o VS Code, com os testes de simulação de servidor web realizados em ambiente XAMPP. Os resultados mostraram a eficiência do programa em descrever um perfil de termos correlacionados em documentos dotados de potenciais ativos de PI. Qualificar os gestores de inovação para o uso adequado do software contribuirá para uma maior segurança quanto à divulgação inadequada de achados acadêmicos passiveis de proteção.  Universidade Federal da Bahia2024-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/5624110.9771/cp.v17i2.56241Cadernos de Prospecção; Vol. 17 No. 2 (2024); 469-485Cadernos de Prospecção; v. 17 n. 2 (2024); 469-4852317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/56241/31700Copyright (c) 2024 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessMenino, Paulo Marcelo Ferreira Oliveira, Jeanfson Dutra de Diniz, Cristovam GuerreiroMelo, Mauro André Damasceno de2024-04-01T11:32:20Zoai:ojs.periodicos.ufba.br:article/56241Revistahttps://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:2024-04-01T11:32:20Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false
dc.title.none.fl_str_mv PI-DETECT: software for identifying Intellectual Property assets in academic-scientific documents
PI-DETECT: software para identificação de ativos de Propriedade Intelectual em documentos acadêmico científicos
title PI-DETECT: software for identifying Intellectual Property assets in academic-scientific documents
spellingShingle PI-DETECT: software for identifying Intellectual Property assets in academic-scientific documents
Menino, Paulo Marcelo Ferreira
Programa
Proteção
Compostos Bioativos.
Program
Protection
Assets.
title_short PI-DETECT: software for identifying Intellectual Property assets in academic-scientific documents
title_full PI-DETECT: software for identifying Intellectual Property assets in academic-scientific documents
title_fullStr PI-DETECT: software for identifying Intellectual Property assets in academic-scientific documents
title_full_unstemmed PI-DETECT: software for identifying Intellectual Property assets in academic-scientific documents
title_sort PI-DETECT: software for identifying Intellectual Property assets in academic-scientific documents
author Menino, Paulo Marcelo Ferreira
author_facet Menino, Paulo Marcelo Ferreira
Oliveira, Jeanfson Dutra de
Diniz, Cristovam Guerreiro
Melo, Mauro André Damasceno de
author_role author
author2 Oliveira, Jeanfson Dutra de
Diniz, Cristovam Guerreiro
Melo, Mauro André Damasceno de
author2_role author
author
author
dc.contributor.author.fl_str_mv Menino, Paulo Marcelo Ferreira
Oliveira, Jeanfson Dutra de
Diniz, Cristovam Guerreiro
Melo, Mauro André Damasceno de
dc.subject.por.fl_str_mv Programa
Proteção
Compostos Bioativos.
Program
Protection
Assets.
topic Programa
Proteção
Compostos Bioativos.
Program
Protection
Assets.
description The creation of Technological Innovation Centers (NIT) brought an advance in the innovation management process in academic environments, safeguarding institutional interests in the protection of Intellectual Property (IP) assets. This justifies the need to develop tools for monitoring potential assets contained in academic documents. This work aimed to create software to detect possible assets in these documents by mining terms related to the topic. The system was developed using technologies available for the web environment and all coding used VS Code, with web server simulation tests carried out in the XAMPP environment. The results showed the program's efficiency in describing a profile of correlated terms in documents with potential IP assets. Qualifying innovation managers for the appropriate use of the software will contribute to greater security regarding the inadequate disclosure of academic findings that can be protected.
publishDate 2024
dc.date.none.fl_str_mv 2024-04-01
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/56241
10.9771/cp.v17i2.56241
url https://periodicos.ufba.br/index.php/nit/article/view/56241
identifier_str_mv 10.9771/cp.v17i2.56241
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufba.br/index.php/nit/article/view/56241/31700
dc.rights.driver.fl_str_mv Copyright (c) 2024 Cadernos de Prospecção
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 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. 17 No. 2 (2024); 469-485
Cadernos de Prospecção; v. 17 n. 2 (2024); 469-485
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
_version_ 1799319844011638784

Registros relacionados