Artículo

Ontology and Fuzzy Theory Application in Information Systems: A Bibliometric Analysis

Resumen

Ontologies are used to semantically enrich different types of information systems (IS), ensure a reasoning on their content and integrate heterogeneous IS at the semantical level. On the other hand, fuzzy theory is employed in IS for handling the uncertainty and fuzziness of their attributes, resulting in a fully fuzzy IS. As such, ontology- and fuzzy-based IS (i.e. ontology and fuzzy IS) are being developed. So, in this paper, we present a bibliometric analysis of the ontology and fuzzy IS concept to grasp its main ideas, and to increase its body of knowledge by providing a concept map for ontology and fuzzy IS. The main results obtained show that by adding ontologies and fuzzy theory to traditional ISs, they evolve into intelligent ISs capable of managing fuzzy and semantically rich (ontological) information and ensuring knowledge recognition in various fields of application. This bibliometric analysis would enable practitioners and researchers gain a comprehensive understanding of the ontology and fuzzy IS concept that they can eventually adopt for development of intelligent IS in their work.
Kalibatienė, Diana (34880090400); Miliauskaitė, Jolanta (56021959900); Slotkienė, Asta (24829739600)
Ontology and Fuzzy Theory Application in Information Systems: A Bibliometric Analysis
2024
10.15388/24-INFOR557
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214926765&doi=10.15388%2f24-INFOR557&partnerID=40&md5=828580244f869ec2ea0ebc3739d5cce4
Faculty of Fundamental Sciences, Information Systems Department, Vilnius Gediminas Technical University, Lithuania; Institute of Data Science and Digital Technologies, Vilnius University, Lithuania
All Open Access; Hybrid Gold Open Access
Scopus
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