Analysis between Ontology and Multicriteria methods: An Integrated Bibliometric Study

This systematic mapping addressed a significant research gap by integrating ontology and multi-criteria methods to facilitate decision-making. The study utilized the Scopus and Web of Science (WoS) databases to review research conducted between 2013 and the present, focusing on seminal articles supported by robust citations and recent relevance. The analysis involved using specialized software and platforms, such as VOSviewer, RStudio, and Bibliometrics, to stratify and interpret bibliometric data. This approach enabled the identification of emerging research trends, key journals driving this field of knowledge, notable authors dedicated to this area, and global interactions among various research groups. A script written in the R language facilitated the identification of forty-one duplicated documents across the analyzed databases.

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Publication Details

Journal
World Journal of Information Systems
Published
2024-09-15
DOI
https://doi.org/10.17013/wjis.v1i3.18
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis between Ontology and Multicriteria methods: An Integrated Bibliometric Study

Cleyton Mário de Oliveira Rodrigues, Daniel Augusto de Moura Pereira, Andrei Bonamigo, Marcos dos Santos et al.
World Journal of Information Systems
Big Data and Business Intelligence
article

Analysis between Ontology and Multicriteria methods: An Integrated Bibliometric Study

Cleyton Mário de Oliveira Rodrigues, Daniel Augusto de Moura Pereira, Andrei Bonamigo, Marcos dos Santos, David Costa
article en

Abstract

This systematic mapping addressed a significant research gap by integrating ontology and multi-criteria methods to facilitate decision-making. The study utilized the Scopus and Web of Science (WoS) databases to review research conducted between 2013 and the present, focusing on seminal articles supported by robust citations and recent relevance. The analysis involved using specialized software and platforms, such as VOSviewer, RStudio, and Bibliometrics, to stratify and interpret bibliometric data. This approach enabled the identification of emerging research trends, key journals driving this field of knowledge, notable authors dedicated to this area, and global interactions among various research groups. A script written in the R language facilitated the identification of forty-one duplicated documents across the analyzed databases.

World Journal of Information SystemsVol. 1(3)
Universidade Federal Fluminense (BR), Universidade Federal de Campina Grande (BR), Universidade de Pernambuco (BR)
Openalex Percentile: Top 55%
Big Data and Business Intelligence
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