Autors: Ivanova, T. I.
Title: A bilingual ontology mapping and enrichment approach for domain ontologies in e-learning
Keywords: Domain ontologies, E-learning contents, English languages, E

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

References

    Issue

    ACM International Conference Proceeding Series 21 June 2019, vol. CompSysTech 2019, issue 20, pp. 284-291, 2019, Bulgaria, Association for Computing Machinery, DOI 10.1145/3345252.3345257

    Цитирания (Citation/s):
    1. Smirnov, A., Levashova, T., Ponomarev, A., & Shilov, N. (2021). Methodology for Multi-Aspect Ontology Development: Ontology for Decision Support Based on Human-Machine Collective Intelligence. IEEE Access, 9, 135167-135185. - 2021 - в издания, индексирани в Scopus или Web of Science
    2. Radović, M., Petrović, N., Tošić, M., Ontology-based generation of multilingual questions for assessment in medical education, Journal of Teaching English for Specific and Academic Purposes, 2020, 8(1 Special Issue), pp. 1-15 - 2020 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus