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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/52123
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dc.creatorEugênio Monteiro da Silva Júniorpt_BR
dc.creatorMoisés Lima Dutrapt_BR
dc.date.accessioned2023-04-18T10:34:59Z-
dc.date.available2023-04-18T10:34:59Z-
dc.date.issued2021-07-27-
dc.citation.volume1pt_BR
dc.citation.issue2pt_BR
dc.citation.spage1pt_BR
dc.citation.epage22pt_BR
dc.identifier.doihttps://doi.org/10.47909/ijsmc.52pt_BR
dc.identifier.issn2709-3158pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/52123-
dc.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.pt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofIberoamerican Journal of Science Measurement and Communication-
dc.rightsAcesso Abertopt_BR
dc.subject.otherAutomaçãopt_BR
dc.subject.otherMineração de dados (Computação)pt_BR
dc.subject.otherFramework (Arquivo de computador)pt_BR
dc.subject.otherInteligência artificialpt_BR
dc.titleA roadmap toward the automatic composition of systematic literature reviewspt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://pub.colnes.org/index.php/ijsmc/article/view/52pt_BR
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