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

IF 3.3 4区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Informatica Pub Date : 2024-05-16 DOI:10.15388/24-infor557

Diana Kalibatienė, Jolanta Miliauskaitė, Asta Slotkienė

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引用次数: 0

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. PDF XML

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本体论和模糊理论在信息系统中的应用：文献计量分析

本体论用于从语义上丰富不同类型的信息系统（IS），确保对其内容进行推理，并在语义层面整合异构信息系统。另一方面，在信息系统中采用模糊理论来处理其属性的不确定性和模糊性，从而形成完全模糊的信息系统。因此，基于本体和模糊的 IS（即本体和模糊 IS）正在被开发出来。因此，在本文中，我们对本体和模糊 IS 概念进行了文献计量分析，以掌握其主要思想，并通过提供本体和模糊 IS 的概念图来增加其知识体系。得出的主要结果表明，通过在传统的 IS 中加入本体和模糊理论，IS 可以发展成为智能 IS，能够管理模糊和语义丰富的（本体）信息，并确保各应用领域的知识识别。这项文献计量分析有助于从业人员和研究人员全面了解本体论和模糊 IS 概念，并最终在工作中采用这些概念来开发智能 IS。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Informatica 工程技术-计算机：信息系统

CiteScore

5.90

自引率

6.90%

发文量

审稿时长

12 months

期刊介绍： The quarterly journal Informatica provides an international forum for high-quality original research and publishes papers on mathematical simulation and optimization, recognition and control, programming theory and systems, automation systems and elements. Informatica provides a multidisciplinary forum for scientists and engineers involved in research and design including experts who implement and manage information systems applications.