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A bilingual ontology mapping and enrichment approach for domain ontologies in e-learning | Proceedings of the 20th International Conference on Computer Systems and Technologies

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A bilingual ontology mapping and enrichment approach for domain ontologies in e-learning

Author:

Tatyana IvanovaAuthors Info & Claims

CompSysTech '19: Proceedings of the 20th International Conference on Computer Systems and Technologies

Pages 284 - 291

https://doi.org/10.1145/3345252.3345257

Published: 21 June 2019 Publication History

Abstract

English language is accepted as international language for publishing research in e-learning and Semantic Web area, but people are needed from representing data and knowledge in his native language. This paper proposes an approach for mapping and enrichment of domain ontologies, labeled in two natural languages (bilingual ontologies). Our main goal is to examine how ontology entity labels or comments in two or more natural languages can be used to improve ontology mapping. The proposed approach combines string-based, linguistic, structural and semantic mapping. It also can reuse existing mappings and use learner's or expert's feedback to improve mapping. We discuss the application of our approach for mapping ontologies describing e-learning content.

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Cited By

Ivanova T(2022)A Methodology for Mapping Educational Domain Ontologies Using Top Level Ontologies2022 International Conference on Information Technologies (InfoTech)10.1109/InfoTech55606.2022.9897119(1-4)Online publication date: 15-Sep-2022
https://doi.org/10.1109/InfoTech55606.2022.9897119
Ivanova T(2022)Ontology Mapping for Personalization in Adaptive E-learning2022 International Conference on Information Technologies (InfoTech)10.1109/InfoTech55606.2022.9897096(1-4)Online publication date: 15-Sep-2022
https://doi.org/10.1109/InfoTech55606.2022.9897096
Smirnov ALevashova TPonomarev AShilov N(2021)Methodology for Multi-Aspect Ontology Development: Ontology for Decision Support Based on Human-Machine Collective IntelligenceIEEE Access10.1109/ACCESS.2021.31168709(135167-135185)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3116870

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A bilingual ontology mapping and enrichment approach for domain ontologies in e-learning

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CompSysTech '19: Proceedings of the 20th International Conference on Computer Systems and Technologies

June 2019

365 pages

ISBN:9781450371490

DOI:10.1145/3345252

Copyright © 2019 ACM.

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UORB: University of Ruse, Bulgaria

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New York, NY, United States

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Published: 21 June 2019

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CompSysTech '19

CompSysTech '19: 20th International Conference on Computer Systems and Technologies

June 21 - 22, 2019

Ruse, Bulgaria

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Overall Acceptance Rate 241 of 492 submissions, 49%

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Cited By

Ivanova T(2022)A Methodology for Mapping Educational Domain Ontologies Using Top Level Ontologies2022 International Conference on Information Technologies (InfoTech)10.1109/InfoTech55606.2022.9897119(1-4)Online publication date: 15-Sep-2022
https://doi.org/10.1109/InfoTech55606.2022.9897119
Ivanova T(2022)Ontology Mapping for Personalization in Adaptive E-learning2022 International Conference on Information Technologies (InfoTech)10.1109/InfoTech55606.2022.9897096(1-4)Online publication date: 15-Sep-2022
https://doi.org/10.1109/InfoTech55606.2022.9897096
Smirnov ALevashova TPonomarev AShilov N(2021)Methodology for Multi-Aspect Ontology Development: Ontology for Decision Support Based on Human-Machine Collective IntelligenceIEEE Access10.1109/ACCESS.2021.31168709(135167-135185)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3116870

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