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.
Urrea-Cuéllar, Ángela (57220211864); Londoño Vásquez, David (55817087400)
Review of theoretical and research trends in the field of Psychology of Physical Activity and Sports in Ibero-American; [Revisión de las tendencias teóricas e investigativas en el campo de la Psicología de la Actividad Física y del Deporte en Iberoamérica]
2022
10.17081/psico.25.47.4836
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151403886&doi=10.17081%2fpsico.25.47.4836&partnerID=40&md5=961c369da2b8790ba0c36e09f204bf96
All Open Access; Gold Open Access
Scopus
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