Rodyti trumpą aprašą

dc.contributor.authorKalibatienė, Diana
dc.contributor.authorMiliauskaitė, Jolanta
dc.date.accessioned2023-09-18T20:43:11Z
dc.date.available2023-09-18T20:43:11Z
dc.date.issued2021
dc.identifier.issn2076-3417
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/151996
dc.description.abstractThe ontology-based information systems (IS) development is beneficial for analyzing, conceptual modeling, designing, and re-engineering complex IS to be semantically enriched and suitable for sophisticated reasoning on the IS content. On the other hand, fuzzy theory employment to handle uncertainty and fuzziness in IS becomes a hot topic in different practical domains, such as engineering, IS, computer sciences, etc. As such, ontology- and fuzzy-based IS are being developed. Consequently, there is a need to provide a comprehensive systematic mapping study (SMS) to build a structure on the ontology- and fuzzy-based IS field of interest and to grasp the main ideas. This paper presents findings of SMS, based on the papers extracted from Web of Science and Scopus and employing a bibliometric analysis tool to automate keyword mapping. We conclude this paper by summarizing the previous work and identifying possible research trends, which future investigations can extend. The main finding indicates that ontology and fuzzy logic contribute to ISs by expanding traditional IS to be intelligent IS, which is applicable for solving complex, fuzzy, and semantically rich (ontological) information collection, saving, processing, sharing, and reasoning in different application domains according to users’ needs in various countries.eng
dc.formatPDF
dc.format.extentp. 1-20
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyDOAJ
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://doi.org/10.3390/app11073003
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:89077452/datastreams/MAIN/content
dc.titleA systematic mapping with bibliometric analysis on information systems using ontology and fuzzy logic
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references60
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.studydirectionB04 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsIK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enontology
dc.subject.enfuzzy logic
dc.subject.eninformation system
dc.subject.enontology-based information system
dc.subject.enfuzzy information system
dc.subject.enfuzzy ontology
dc.subject.ensystematic mapping
dc.subject.enbibliometric analysis
dcterms.sourcetitleApplied sciences: Special Issue Ontology-Based Information Systems Establishment and Recent Development
dc.description.issueiss. 7
dc.description.volumevol. 11
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000638361400001
dc.identifier.doi10.3390/app11073003
dc.identifier.elaba89077452


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