Dependency Parsing of Natural Russian Language with Usage of Semantic Mapping Approach

Balandina, Anita; Kostkina, Anastasiya; Chernyshov, Artyom; Klimov, Valentin

doi:10.1016/j.procs.2018.11.013

Cited by 5 publications

(1 citation statement)

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“…As for the Russian-based CNL, the task of its development is assigned and discussed [Balandina et al, 2018;Kuznetsova, 2020]. However, there is a lack of scientific publications and practical solutions focusing on the development of academic course ontologies based on Controlled Russian Language (CRuL).…”

Section: пĕлӳсене нумай чĕлхеллĕ вĕренӳ çăл куçĕсенче кăтартниmentioning

confidence: 99%

Knowledge Representation in Multilingual Education Resources

Volegzhanina

2022

Development of education

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Introduction. Ontologies are now recognised as the advanced standard of knowledge representation for e-learning and some industries. In particular, the development of multilingual ontological education resources is characterised as a promising area of research in the context of industry universities’ digital transformation. The article deals with the development of an academic course multilingual ontology in a Controlled Natural Language. Relevance. Although there are many ontology editors, national developers of education resources should be familiar with formal logic and have a good command of English. Therefore, it is difficult to discuss widespread use of ontology-based education solutions in Russian universities. Materials and Methods. The article offers a version of Controlled Russian Language for academic knowledge representation. A methodology to be used for compiling academic course ontologies is developed. As an example, a piece of ontology for the Introductory Course on Railways is considered. Results and Discussion. To support this way of knowledge representation, a prototype of ontology editor Onto.plus was developed to support the version of Controlled Russian Language. To implement the multilanguage function, equivalent versions for the Controlled Russian Language ontology were developed in English and Chinese. Conclusions. The solutions are a contribution to the implementation of an open project to develop an ontology resource integrating universities and industry.

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Section: пĕлӳсене нумай чĕлхеллĕ вĕренӳ çăл куçĕсенче кăтартниmentioning

confidence: 99%