Processing of computer algorithms for traceability identification in scientific research

Considering that scientific research is an essential part of the development of new knowledge and a multidisciplinary, time-consuming and error-prone task, it must be conducted under verifiable conditions in order to contribute to safe decision-making. The aim is to extract quality information from...

Full description

Saved in:
Bibliographic Details
Published in:GeSec : Revista de Gestão e Secretariado Vol. 15; no. 7; p. e3887
Main Authors: Fraga, Hilda Carolina de Jesus Rios, Machado, Vagner de Oliveira, Reina, Julian, Santos, André Lucas Coelho dos, Oliveira, Bruno Santos, Souza, Antonio Carlos dos Santos
Format: Journal Article
Language:English
Published: 10.07.2024
ISSN:2178-9010, 2178-9010
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Considering that scientific research is an essential part of the development of new knowledge and a multidisciplinary, time-consuming and error-prone task, it must be conducted under verifiable conditions in order to contribute to safe decision-making. The aim is to extract quality information from scientific articles automatically, presenting reliable, traceable and safe knowledge. To this end, this study investigates the perspective of identifying traceability and reproducibility patterns, using algorithmic Natural Language Processing methods, to demonstrate the identification of information contained in scientific articles, regardless of the research area. Therefore, in this work, the languages ​​Naive Bayes (NB), Cosine Similarity, Bag of Words (BOW) and Neural Networks (RN) were used for this purpose. As a result, it was possible to identify nine traceability patterns in the articles analyzed and propose an Artificial Intelligence model using algorithms with a minimum accuracy of 70%, demonstrating the traceability and reproducibility of the scientific articles analyzed.
AbstractList Considering that scientific research is an essential part of the development of new knowledge and a multidisciplinary, time-consuming and error-prone task, it must be conducted under verifiable conditions in order to contribute to safe decision-making. The aim is to extract quality information from scientific articles automatically, presenting reliable, traceable and safe knowledge. To this end, this study investigates the perspective of identifying traceability and reproducibility patterns, using algorithmic Natural Language Processing methods, to demonstrate the identification of information contained in scientific articles, regardless of the research area. Therefore, in this work, the languages ​​Naive Bayes (NB), Cosine Similarity, Bag of Words (BOW) and Neural Networks (RN) were used for this purpose. As a result, it was possible to identify nine traceability patterns in the articles analyzed and propose an Artificial Intelligence model using algorithms with a minimum accuracy of 70%, demonstrating the traceability and reproducibility of the scientific articles analyzed.
Author Oliveira, Bruno Santos
Souza, Antonio Carlos dos Santos
Santos, André Lucas Coelho dos
Fraga, Hilda Carolina de Jesus Rios
Machado, Vagner de Oliveira
Reina, Julian
Author_xml – sequence: 1
  givenname: Hilda Carolina de Jesus Rios
  orcidid: 0000-0002-1191-5789
  surname: Fraga
  fullname: Fraga, Hilda Carolina de Jesus Rios
– sequence: 2
  givenname: Vagner de Oliveira
  orcidid: 0000-0002-2156-6623
  surname: Machado
  fullname: Machado, Vagner de Oliveira
– sequence: 3
  givenname: Julian
  orcidid: 0009-0004-5610-9600
  surname: Reina
  fullname: Reina, Julian
– sequence: 4
  givenname: André Lucas Coelho dos
  orcidid: 0009-0007-7309-8407
  surname: Santos
  fullname: Santos, André Lucas Coelho dos
– sequence: 5
  givenname: Bruno Santos
  orcidid: 0009-0005-3008-2523
  surname: Oliveira
  fullname: Oliveira, Bruno Santos
– sequence: 6
  givenname: Antonio Carlos dos Santos
  orcidid: 0000-0001-6593-3192
  surname: Souza
  fullname: Souza, Antonio Carlos dos Santos
BookMark eNpNkD1PwzAYhC1UJErpzug_kGDHSWyPqOJLqgRDB7bIefM6NUrsyg5I_fekpQO33OmG0-m5JQsfPBJyz1kuZa0fekwI-Q-vnMyFUvKKLAsuVaYZZ4t_-YasU_pis7QuWMGX5PMjBsCUnO9psBTCePieMFIz9CG6aT8makOkUzSApnWDm47UdegnZx2YyQVPnacJ3KWicb5iIuzvyLU1Q8L1xVdk9_y027xm2_eXt83jNgMlZGYsVoDYomYWVQd1K0HUJSiQtrCVZMJwUZYdU5USnebzZ14rqLTirFWyFSvC_mYhhpQi2uYQ3WjiseGsObFpzmyaM5vmxEb8Ak2EXTA
Cites_doi 10.34133/research.0205
10.1038/s41598-023-40770-w
10.20401/rasi.6.1.341
10.1186/s12874-023-02013-4
10.1007/978-981-15-9712-1_31
10.6026/973206300181050
10.31510/infa.v17i1.796
10.5380/rabl.v1i1.52704
10.3390/s22176445
10.1051/medsci/2020189
10.1016/j.array.2022.100271
10.1016/B978-0-323-90769-9.00032-3
ContentType Journal Article
DBID AAYXX
CITATION
DOI 10.7769/gesec.v15i7.3887
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList CrossRef
DeliveryMethod fulltext_linktorsrc
Discipline Business
EISSN 2178-9010
ExternalDocumentID 10_7769_gesec_v15i7_3887
GroupedDBID 5VS
7WY
8FL
91A
AAYXX
ABDBF
ABUWG
ACUHS
ADBBV
AFFHD
AFKRA
ALMA_UNASSIGNED_HOLDINGS
BCNDV
BENPR
BEZIV
BPHCQ
CCPQU
CITATION
CLZPN
DWQXO
EAD
EAP
EPL
ESX
FRNLG
IAO
INF
K60
K6~
KQ8
M0C
M~E
OK1
PHGZM
PHGZT
PIMPY
PQBIZ
PQBZA
PQQKQ
PROAC
ID FETCH-LOGICAL-c837-afe5ceebe90fe8dc6b7c364c8c7f2f5703a1344d08583d91021168c59810b87b3
ISSN 2178-9010
IngestDate Sat Nov 29 05:12:13 EST 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 7
Language English
License http://creativecommons.org/licenses/by-nc-nd/4.0
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c837-afe5ceebe90fe8dc6b7c364c8c7f2f5703a1344d08583d91021168c59810b87b3
ORCID 0000-0001-6593-3192
0009-0007-7309-8407
0009-0005-3008-2523
0000-0002-1191-5789
0000-0002-2156-6623
0009-0004-5610-9600
OpenAccessLink https://ojs.revistagesec.org.br/secretariado/article/download/3887/2518
ParticipantIDs crossref_primary_10_7769_gesec_v15i7_3887
PublicationCentury 2000
PublicationDate 2024-07-10
PublicationDateYYYYMMDD 2024-07-10
PublicationDate_xml – month: 07
  year: 2024
  text: 2024-07-10
  day: 10
PublicationDecade 2020
PublicationTitle GeSec : Revista de Gestão e Secretariado
PublicationYear 2024
References 114103
114104
114105
114106
114095
114096
114097
114098
114099
114090
114091
114092
114093
114094
114084
114085
114086
114087
114088
114089
114100
114101
114102
114082
114083
References_xml – ident: 114096
– ident: 114105
– ident: 114103
– ident: 114093
  doi: 10.34133/research.0205
– ident: 114084
  doi: 10.1038/s41598-023-40770-w
– ident: 114098
– ident: 114101
– ident: 114090
– ident: 114102
  doi: 10.20401/rasi.6.1.341
– ident: 114092
– ident: 114087
  doi: 10.1186/s12874-023-02013-4
– ident: 114089
  doi: 10.1007/978-981-15-9712-1_31
– ident: 114094
  doi: 10.6026/973206300181050
– ident: 114082
– ident: 114104
  doi: 10.31510/infa.v17i1.796
– ident: 114086
  doi: 10.5380/rabl.v1i1.52704
– ident: 114106
– ident: 114091
  doi: 10.3390/s22176445
– ident: 114095
– ident: 114088
  doi: 10.1051/medsci/2020189
– ident: 114097
– ident: 114099
  doi: 10.1016/j.array.2022.100271
– ident: 114085
– ident: 114100
– ident: 114083
  doi: 10.1016/B978-0-323-90769-9.00032-3
SSID ssj0000992021
Score 2.2614117
Snippet Considering that scientific research is an essential part of the development of new knowledge and a multidisciplinary, time-consuming and error-prone task, it...
SourceID crossref
SourceType Index Database
StartPage e3887
Title Processing of computer algorithms for traceability identification in scientific research
Volume 15
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2178-9010
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000992021
  issn: 2178-9010
  databaseCode: M~E
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVPQU
  databaseName: ABI/INFORM Collection
  customDbUrl:
  eissn: 2178-9010
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000992021
  issn: 2178-9010
  databaseCode: 7WY
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/abicomplete
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ABI/INFORM Global
  customDbUrl:
  eissn: 2178-9010
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000992021
  issn: 2178-9010
  databaseCode: M0C
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/abiglobal
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Latin America & Iberia Database
  customDbUrl:
  eissn: 2178-9010
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000992021
  issn: 2178-9010
  databaseCode: CLZPN
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/latinamericaiberian
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 2178-9010
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000992021
  issn: 2178-9010
  databaseCode: BENPR
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Publicly Available Content Database
  customDbUrl:
  eissn: 2178-9010
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000992021
  issn: 2178-9010
  databaseCode: PIMPY
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/publiccontent
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELdKhxAvE58aDJAfeEFRRhMnsfOIEDAQG9VWofIUJbbTRoqSKemq8dfyr3AX56sVSOyBl6iyklPt--l8Pv_ujpDXM-UICW6qLR1H2p7wlJ14KbM97TKGBexcRzXNJvj5uVguw_lk8qvLhdnmvCjEzU149V9VDWOgbEydvYW6e6EwAL9B6fAEtcPznxTfUv9bNrNsuzZYcb4qq2yzNgUYsDWE1KZG908rUy1nKO6ojyZPEoesthzQeuzGftKXWlqGTLdFD9RSWMG63jT37qy0NAbykcoIE1ZlD5IqNnHc0yxXsSGbZEXz8RddX9fWRVb2Pv5ZjDf0TST3e7wqmk7m1rccrHNW9XvJhc5MUhvmeQ9Av8TWyHVH2DRkAOsr9ncDA6jzdWmpcifg4XoYSW2pr41dhEOUaFglZgv7w1hn2P0RgPnISmsmzC6_v39wHmD51RUsrDzZOn7GT7pXd0t1722hPbERjlQoI2okRI2ECCXcIQcu90MxJQfzz2fzH30YEBx0mCOGBfopmMt0FPN2_4-MnKeRF7R4QA7b4wt9Z2D3kEx08Yjc67InHpPlgD5aprRDHx3QRwF9dIw-uos-mhV0QB_t0PeELD5-WLw_tdvmHbYUjNtxqn3wvxIdzlItlAwSLlngSTAMqZti2bfYYZ6nwOMXTIXYYN4JhIQlcmaJ4Al7SqZFWegjQkU4izVLghRW0BPawYtjxlWq3NRVjp88I2-6RYmuTImW6G96eH6Ld4_J_QF-L8h0U13rl-Su3G6yunrVKvI3Hl2POg
linkProvider ProQuest
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Processing+of+computer+algorithms+for+traceability+identification+in+scientific+research&rft.jtitle=GeSec+%3A+Revista+de+Gest%C3%A3o+e+Secretariado&rft.au=Fraga%2C+Hilda+Carolina+de+Jesus+Rios&rft.au=Machado%2C+Vagner+de+Oliveira&rft.au=Reina%2C+Julian&rft.au=Santos%2C+Andr%C3%A9+Lucas+Coelho+dos&rft.date=2024-07-10&rft.issn=2178-9010&rft.eissn=2178-9010&rft.volume=15&rft.issue=7&rft.spage=e3887&rft_id=info:doi/10.7769%2Fgesec.v15i7.3887&rft.externalDBID=n%2Fa&rft.externalDocID=10_7769_gesec_v15i7_3887
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2178-9010&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2178-9010&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2178-9010&client=summon