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Ontology and Fuzzy Theory Application in Information Systems: A Bibliometric Analysis
Volume 35, Issue 3 (2024), pp. 557–576
Pub. online: 16 May 2024      Type: Research Article      Open accessOpen Access
Received
1 November 2023
Accepted
1 April 2024
Published
16 May 2024

Abstract

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.

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Biographies

Kalibatienė Diana
diana.kalibatiene@vilniustech.lt

D. Kalibatienė Kalibatiene received his PhD degree in technological sciences from Vilnius Gediminas Technical University (VilniusTECH) in 2009. Currently, she is a full-time professor at the Information Systems Department, VilniusTECH, Lithuania. She has published over 100 research papers in international journals and conference proceedings. Her research fields include ontology-based information systems development; rule-based dynamic business process modelling and simulation; multi-criteria decision-making methods application in different fields; fuzzy theory application in quality planning and prediction. She actively participates in Erasmus+ teaching and has delivered lectures at Universidade Nova De Lisboa (Lisboa, Portugal), International University Travnik (Travnik, Bosnia and Herzegovina), Palermo University (Sicily, Italy), University of La Laguna (Tenerife), and University of Rousse (Bulgaria). She supervises one PhD student and one PhD student has already defended her thesis “Fuzzy Inference and Machine Learning-Based Prediction with a Small Dataset for Oil Spills in the Geological Environment”. She is a Coordinator of the Erasmus+ KA220-HED Project “Embracing rapid application development (RAD) skills opportunity as a catalyst for employability and innovation” (RAD-Skills) (2022-10-01–2024-09-30). She is a member and chair of bachelor’s and master’s degree study programmes in VilniusTECH. In 2021, she was an invited editor of the Applied Sciences journal special issue “Ontology-Based Information Systems Establishment and Recent Development”. From 2022, she is an Editor-in-Chief of the newly established journal New Trends in Computer Sciences and a Steering Committee member of the Baltic DB&IS conference.

Miliauskaitė Jolanta
jolanta.miliauskaite@mif.vu.lt

J. Miliauskaitė received her PhD degree in technological sciences from Vilnius University in 2015. Currently, she is a researcher and associate professor at Vilnius University (Lithuania) Institute of Data Science and Digital Technologies Department of Cyber-Social Systems Engineering Group. She is an author and a co-author of scientific papers, a majority of which were published in Web of Science journals. Her research interests include enterprise business services, service-oriented enterprise systems, web service composition, quality of service modelling and evaluation of service-oriented enterprise systems, fuzzy theory application in quality planning and prediction.

Slotkienė Asta
asta.slotkiene@mif.vu.lt

A. Slotkienė received her PhD degree in technological sciences from Kaunas Technical University in 2009. She is an associate professor at Cyber-Social Systems Engineering Group, Institute of Data Science and Digital Technologies, Vilnius University. She is an author and a co-author of several scientific papers, most of which are published in Web of Science journals. Her research interests include software quality assurance, software process improvement based on machine learning, and quality of service modelling and evaluation of service-oriented enterprise systems.


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Keywords
ontology fuzzy theory information system bibliometric analysis

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