Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/52123
Type: Artigo de Periódico
Title: A roadmap toward the automatic composition of systematic literature reviews
Authors: Eugênio Monteiro da Silva Júnior
Moisés Lima Dutra
Abstract: Objective: 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.
Subject: Automação
Mineração de dados (Computação)
Framework (Arquivo de computador)
Inteligência artificial
language: eng
metadata.dc.publisher.country: Brasil
Publisher: Universidade Federal de Minas Gerais
Publisher Initials: UFMG
metadata.dc.publisher.department: ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
Rights: Acesso Aberto
metadata.dc.identifier.doi: https://doi.org/10.47909/ijsmc.52
URI: http://hdl.handle.net/1843/52123
Issue Date: 27-Jul-2021
metadata.dc.url.externa: https://pub.colnes.org/index.php/ijsmc/article/view/52
metadata.dc.relation.ispartof: Iberoamerican Journal of Science Measurement and Communication
Appears in Collections:Artigo de Periódico

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