A Computer model of information behavior to study information security professionals
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Information Science |
Texto Completo: | https://revistas.marilia.unesp.br/index.php/bjis/article/view/7870 |
Resumo: | In this paper, we propose a computer model of information behavior to study information security professionals and an architecture, which mimics the way our brain learns new concepts to simulate this behavior computationally. Used to represent and describe any domain of knowledge, we may use ontologies to study the human information behavior and show some of the concepts and relation-ships involved in this field of knowledge. A deep knowledge of the core concepts underpinning this field can provide us with a solid basis for constructing a model. We can also use computer-programming tools not only to capture the ideas that make up this field of knowledge, but can also simulate the human information behavior. The use of computers also allows us to crawl data over the Internet and process large amounts of them in order to find patterns with some specific characteristics. In the paper, we also present the current state of this research and challenges of the model. |
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oai:ojs.www2.marilia.unesp.br:article/7870 |
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UNESP-31 |
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Brazilian Journal of Information Science |
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A Computer model of information behavior to study information security professionalsA Computer model of information behavior to study information security professionalsInformation behaviorontologiesartificial intelligencemachine learningpredictive modelspsychologycognitive scienceIn this paper, we propose a computer model of information behavior to study information security professionals and an architecture, which mimics the way our brain learns new concepts to simulate this behavior computationally. Used to represent and describe any domain of knowledge, we may use ontologies to study the human information behavior and show some of the concepts and relation-ships involved in this field of knowledge. A deep knowledge of the core concepts underpinning this field can provide us with a solid basis for constructing a model. We can also use computer-programming tools not only to capture the ideas that make up this field of knowledge, but can also simulate the human information behavior. The use of computers also allows us to crawl data over the Internet and process large amounts of them in order to find patterns with some specific characteristics. In the paper, we also present the current state of this research and challenges of the model.In this paper, we propose a computer model of information behavior to study information security professionals and an architecture, which mimics the way our brain learns new concepts to simulate this behavior computationally. Used to represent and describe any domain of knowledge, we may use ontologies to study the human information behavior and show some of the concepts and relation-ships involved in this field of knowledge. A deep knowledge of the core concepts underpinning this field can provide us with a solid basis for constructing a model. We can also use computer-programming tools not only to capture the ideas that make up this field of knowledge, but can also simulate the human information behavior. The use of computers also allows us to crawl data over the Internet and process large amounts of them in order to find patterns with some specific characteristics. In the paper, we also present the current state of this research and challenges of the model.Faculdade de Filosofia e Ciências2018-12-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/787010.36311/1981-1640.2018.v12n4.04.p22Brazilian Journal of Information Science: Research Trends; Vol. 12 No. 4 (2018); 22-31Brazilian Journal of Information Science: Research Trends; Vol. 12 Núm. 4 (2018); 22-31Brazilian Journal of Information Science: research trends; v. 12 n. 4 (2018); 22-311981-1640reponame:Brazilian Journal of Information Scienceinstname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)instacron:UNESPenghttps://revistas.marilia.unesp.br/index.php/bjis/article/view/7870/5417Copyright (c) 2018 Paulo Hideo Ohtoshi, Cláudio Gottschalg Duquehttps://creativecommons.org/licenses/by-sa/4.0info:eu-repo/semantics/openAccessOhtoshi, Paulo HideoDuque, Cláudio Gottschalg2022-06-20T17:46:52Zoai:ojs.www2.marilia.unesp.br:article/7870Revistahttps://revistas.marilia.unesp.br/index.php/bjis/indexPUBhttps://revistas.marilia.unesp.br/index.php/bjis/oaibrajis.marilia@unesp.br||1981-16401981-1640opendoar:2022-06-20T17:46:52Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)false |
dc.title.none.fl_str_mv |
A Computer model of information behavior to study information security professionals A Computer model of information behavior to study information security professionals |
title |
A Computer model of information behavior to study information security professionals |
spellingShingle |
A Computer model of information behavior to study information security professionals Ohtoshi, Paulo Hideo Information behavior ontologies artificial intelligence machine learning predictive models psychology cognitive science |
title_short |
A Computer model of information behavior to study information security professionals |
title_full |
A Computer model of information behavior to study information security professionals |
title_fullStr |
A Computer model of information behavior to study information security professionals |
title_full_unstemmed |
A Computer model of information behavior to study information security professionals |
title_sort |
A Computer model of information behavior to study information security professionals |
author |
Ohtoshi, Paulo Hideo |
author_facet |
Ohtoshi, Paulo Hideo Duque, Cláudio Gottschalg |
author_role |
author |
author2 |
Duque, Cláudio Gottschalg |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Ohtoshi, Paulo Hideo Duque, Cláudio Gottschalg |
dc.subject.por.fl_str_mv |
Information behavior ontologies artificial intelligence machine learning predictive models psychology cognitive science |
topic |
Information behavior ontologies artificial intelligence machine learning predictive models psychology cognitive science |
description |
In this paper, we propose a computer model of information behavior to study information security professionals and an architecture, which mimics the way our brain learns new concepts to simulate this behavior computationally. Used to represent and describe any domain of knowledge, we may use ontologies to study the human information behavior and show some of the concepts and relation-ships involved in this field of knowledge. A deep knowledge of the core concepts underpinning this field can provide us with a solid basis for constructing a model. We can also use computer-programming tools not only to capture the ideas that make up this field of knowledge, but can also simulate the human information behavior. The use of computers also allows us to crawl data over the Internet and process large amounts of them in order to find patterns with some specific characteristics. In the paper, we also present the current state of this research and challenges of the model. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-12 |
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/7870 10.36311/1981-1640.2018.v12n4.04.p22 |
url |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/7870 |
identifier_str_mv |
10.36311/1981-1640.2018.v12n4.04.p22 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/7870/5417 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Paulo Hideo Ohtoshi, Cláudio Gottschalg Duque https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Paulo Hideo Ohtoshi, Cláudio Gottschalg Duque 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. 12 No. 4 (2018); 22-31 Brazilian Journal of Information Science: Research Trends; Vol. 12 Núm. 4 (2018); 22-31 Brazilian Journal of Information Science: research trends; v. 12 n. 4 (2018); 22-31 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|| |
_version_ |
1754840471645978624 |