An Approach to Building Decision Support Systems Based on an Ontology Service

Modern decision support systems (DSSs) need components for storing knowledge. Moreover, DSSs must support fuzzy inference to work with uncertainty. Ontologies are designed to represent knowledge of complex structures and to perform inference tasks. Developers must use the OWLAPI and SWRL API librari...

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Autores principales:	Anton Romanov, Julia Stroeva, Aleksey Filippov, Nadezhda Yarushkina
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	decision-making fuzzy inference fuzzy ontology http service Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/4306f5e2a1c54326a4a548506fad5ec5
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spelling	oai:doaj.org-article:4306f5e2a1c54326a4a548506fad5ec52021-11-25T18:17:24ZAn Approach to Building Decision Support Systems Based on an Ontology Service10.3390/math92229462227-7390https://doaj.org/article/4306f5e2a1c54326a4a548506fad5ec52021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/22/2946https://doaj.org/toc/2227-7390Modern decision support systems (DSSs) need components for storing knowledge. Moreover, DSSs must support fuzzy inference to work with uncertainty. Ontologies are designed to represent knowledge of complex structures and to perform inference tasks. Developers must use the OWLAPI and SWRL API libraries to use ontology features. They are impossible to use in DSSs written in programming languages not for Java Virtual Machines. The FuzzyOWL library and the FuzzyDL inference engine are required to work with fuzzy ontologies. The FuzzyOWL library is currently unmaintained and does not have a public Git repository. Thus, it is necessary to develop the ontology service. The ontology service must allow working with ontologies and making fuzzy inferences. The article presents ontology models for decision support, fuzzy inference, and the fuzzy inference algorithm. The article considers examples of DSSs for balancing production capacities and image analysis. The article also describes the architecture of the ontology service. The proposed novel ontology models for decision support make it possible to reduce the time of a knowledge base formation. The ontology service can integrate with external systems with HTTP protocol.Anton RomanovJulia StroevaAleksey FilippovNadezhda YarushkinaMDPI AGarticledecision-makingfuzzy inferencefuzzy ontologyhttp serviceMathematicsQA1-939ENMathematics, Vol 9, Iss 2946, p 2946 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	decision-making fuzzy inference fuzzy ontology http service Mathematics QA1-939
spellingShingle	decision-making fuzzy inference fuzzy ontology http service Mathematics QA1-939 Anton Romanov Julia Stroeva Aleksey Filippov Nadezhda Yarushkina An Approach to Building Decision Support Systems Based on an Ontology Service
description	Modern decision support systems (DSSs) need components for storing knowledge. Moreover, DSSs must support fuzzy inference to work with uncertainty. Ontologies are designed to represent knowledge of complex structures and to perform inference tasks. Developers must use the OWLAPI and SWRL API libraries to use ontology features. They are impossible to use in DSSs written in programming languages not for Java Virtual Machines. The FuzzyOWL library and the FuzzyDL inference engine are required to work with fuzzy ontologies. The FuzzyOWL library is currently unmaintained and does not have a public Git repository. Thus, it is necessary to develop the ontology service. The ontology service must allow working with ontologies and making fuzzy inferences. The article presents ontology models for decision support, fuzzy inference, and the fuzzy inference algorithm. The article considers examples of DSSs for balancing production capacities and image analysis. The article also describes the architecture of the ontology service. The proposed novel ontology models for decision support make it possible to reduce the time of a knowledge base formation. The ontology service can integrate with external systems with HTTP protocol.
format	article
author	Anton Romanov Julia Stroeva Aleksey Filippov Nadezhda Yarushkina
author_facet	Anton Romanov Julia Stroeva Aleksey Filippov Nadezhda Yarushkina
author_sort	Anton Romanov
title	An Approach to Building Decision Support Systems Based on an Ontology Service
title_short	An Approach to Building Decision Support Systems Based on an Ontology Service
title_full	An Approach to Building Decision Support Systems Based on an Ontology Service
title_fullStr	An Approach to Building Decision Support Systems Based on an Ontology Service
title_full_unstemmed	An Approach to Building Decision Support Systems Based on an Ontology Service
title_sort	approach to building decision support systems based on an ontology service
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4306f5e2a1c54326a4a548506fad5ec5
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An Approach to Building Decision Support Systems Based on an Ontology Service

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