Ontology-Driven Semantic Interoperability for Smart Grid Systems: A Multi-Layered Framework for Enhanced Data Integration.
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| Title: | Ontology-Driven Semantic Interoperability for Smart Grid Systems: A Multi-Layered Framework for Enhanced Data Integration. |
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| Authors: | Choucha, Chams Eddine1, Naidji, Ilyes2 ilyes.naidji@univ-biskra.dz, Ougouti, Naima Souad3, Zouai, Meftah4, Tibermacine, Ahmed5 |
| Source: | Journal of Engineering Science & Technology Review. 2026, Vol. 19 Issue 1, p174-183. 10p. |
| Subjects: | Data integration, Semantic integration (Computer systems), Renewable energy sources, Telecommunication, Energy management, Knowledge base, Smart power grids |
| Abstract: | The increasing complexity of modern smart grids, driven by the integration of renewable energy sources, advanced communication technologies, and decentralized energy management, poses significant interoperability challenges. Existing frameworks often fail to capture the multi-layered relationships necessary for seamless data exchange and coordination among diverse stakeholders. This paper presents a domain ontology specifically designed to enhance interoperability within smart grid ecosystems. The proposed ontology formalizes essential concepts across three core layers--energy generation, distribution, and consumption--establishing structured relationships that facilitate semantic interoperability, automated reasoning, and knowledge integration. By providing a unified vocabulary, the ontology bridges communication gaps between utilities, consumers, regulators, and technology providers. Through case studies and illustrative examples, we demonstrate its effectiveness in improving data integration, enabling complex semantic queries, and fostering collaboration across the smart grid community. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Engineering Science & Technology Review is the property of Technological Education Institute of Kavala and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192680615 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Ontology-Driven Semantic Interoperability for Smart Grid Systems: A Multi-Layered Framework for Enhanced Data Integration. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Choucha%2C+Chams+Eddine%22">Choucha, Chams Eddine</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Naidji%2C+Ilyes%22">Naidji, Ilyes</searchLink><relatesTo>2</relatesTo><i> ilyes.naidji@univ-biskra.dz</i><br /><searchLink fieldCode="AR" term="%22Ougouti%2C+Naima+Souad%22">Ougouti, Naima Souad</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Zouai%2C+Meftah%22">Zouai, Meftah</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Tibermacine%2C+Ahmed%22">Tibermacine, Ahmed</searchLink><relatesTo>5</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Engineering+Science+%26+Technology+Review%22">Journal of Engineering Science & Technology Review</searchLink>. 2026, Vol. 19 Issue 1, p174-183. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Data+integration%22">Data integration</searchLink><br /><searchLink fieldCode="DE" term="%22Semantic+integration+%28Computer+systems%29%22">Semantic integration (Computer systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br /><searchLink fieldCode="DE" term="%22Telecommunication%22">Telecommunication</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+management%22">Energy management</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+base%22">Knowledge base</searchLink><br /><searchLink fieldCode="DE" term="%22Smart+power+grids%22">Smart power grids</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The increasing complexity of modern smart grids, driven by the integration of renewable energy sources, advanced communication technologies, and decentralized energy management, poses significant interoperability challenges. Existing frameworks often fail to capture the multi-layered relationships necessary for seamless data exchange and coordination among diverse stakeholders. This paper presents a domain ontology specifically designed to enhance interoperability within smart grid ecosystems. The proposed ontology formalizes essential concepts across three core layers--energy generation, distribution, and consumption--establishing structured relationships that facilitate semantic interoperability, automated reasoning, and knowledge integration. By providing a unified vocabulary, the ontology bridges communication gaps between utilities, consumers, regulators, and technology providers. Through case studies and illustrative examples, we demonstrate its effectiveness in improving data integration, enabling complex semantic queries, and fostering collaboration across the smart grid community. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Engineering Science & Technology Review is the property of Technological Education Institute of Kavala and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.25103/jestr.191.17 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 174 Subjects: – SubjectFull: Data integration Type: general – SubjectFull: Semantic integration (Computer systems) Type: general – SubjectFull: Renewable energy sources Type: general – SubjectFull: Telecommunication Type: general – SubjectFull: Energy management Type: general – SubjectFull: Knowledge base Type: general – SubjectFull: Smart power grids Type: general Titles: – TitleFull: Ontology-Driven Semantic Interoperability for Smart Grid Systems: A Multi-Layered Framework for Enhanced Data Integration. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Choucha, Chams Eddine – PersonEntity: Name: NameFull: Naidji, Ilyes – PersonEntity: Name: NameFull: Ougouti, Naima Souad – PersonEntity: Name: NameFull: Zouai, Meftah – PersonEntity: Name: NameFull: Tibermacine, Ahmed IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 17912377 Numbering: – Type: volume Value: 19 – Type: issue Value: 1 Titles: – TitleFull: Journal of Engineering Science & Technology Review Type: main |
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