A Systematic Mapping with Bibliometric Analysis on Information Systems Using Ontology and Fuzzy Logic

The ontology-based information systems (IS) development is beneficial for analyzing, conceptual modeling, designing, and re-engineering complex IS to be semantically enriched suitable sophisticated reasoning on the content. On other hand, fuzzy theory employment handle uncertainty fuzziness in becomes a hot topic different practical domains, such as engineering, IS, computer sciences, etc. As such, ontology- fuzzy-based are being developed. Consequently, there need provide comprehensive systematic mapping study (SMS) build structure field of interest grasp main ideas. This paper presents findings SMS, based papers extracted from Web Science Scopus employing bibliometric analysis tool automate keyword mapping. We conclude this by summarizing previous work identifying possible research trends, which future investigations can extend. finding indicates that ontology logic contribute ISs expanding traditional intelligent applicable solving complex, fuzzy, rich (ontological) collection, saving, processing, sharing, application domains according users’ needs various countries.