A roadmap toward the automatic composition of systematic literature reviews

dc.creatorEugênio Monteiro da Silva Júnior
dc.creatorMoisés Lima Dutra
dc.date.accessioned2023-04-18T10:34:59Z
dc.date.accessioned2025-09-09T01:34:01Z
dc.date.available2023-04-18T10:34:59Z
dc.date.issued2021-07-27
dc.identifier.doihttps://doi.org/10.47909/ijsmc.52
dc.identifier.issn2709-3158
dc.identifier.urihttps://hdl.handle.net/1843/52123
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofIberoamerican Journal of Science Measurement and Communication
dc.rightsAcesso Aberto
dc.subjectAutomação
dc.subjectMineração de dados (Computação)
dc.subjectFramework (Arquivo de computador)
dc.subjectInteligência artificial
dc.titleA roadmap toward the automatic composition of systematic literature reviews
dc.typeArtigo de periódico
local.citation.epage22
local.citation.issue2
local.citation.spage1
local.citation.volume1
local.description.resumoObjective: this paper presents an overview of existing artificial intelligence tools to produce systematic literature reviews. Furthermore, we propose a general framework resulting from combining these techniques to highlight the challenges and possibilities currently existing in this research area. Design/Methodology/Approach: we undertook a scoping review on the systematic literature review steps to automate them via computational techniques. Results/Discussion: the process of creating a literature review is both creative and technical. The technical part of this process is liable to automation. Based on the literature, we chose to divide this technical part into four steps: searching, screening, extraction, and synthesis. For each one of these steps, we presented practical artificial intelligence techniques to carry them out. In addition, we presented the obstacles encountered in the application of each technique. Conclusion: we proposed a framework for automatically creating systematic literature reviews by combining and placing existing techniques in stages where they possess the greatest potential to be useful. Despite still lacking practical assessment in different areas of knowledge, this proposal indicates ways with the potential to reduce the time-consuming and repetitive work embedded in the systematic literature review process. Originality/Value: the paper presents the current possibilities for automating systematic literature reviews and how they can work together to reduce researchers’ operational workload.
local.publisher.countryBrasil
local.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
local.publisher.initialsUFMG
local.url.externahttps://pub.colnes.org/index.php/ijsmc/article/view/52

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