Abstract
In this article, we consider the issue of artificial intelligence integrated systems. This issue was studied within the experimental system of automatic solving geometry problems. The system comprises a linguistic processor, domain ontology, solver, and interactive visualization. The cognitive schemes are considered to create drawing in accordance with the text of geometric problems written in Russian natural language. System’s explanatory means are based on the synthesis of a natural language description of semantic representation. The research results, including the processing of elliptical sentences and possibilities for cognitive systems to support the formation of problem semantic representations and their drawing are described. The applied value of the research for creating learning systems in education have taken into account.
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The research was partially supported by Russian Foundation for Basic Research, research project No. 18-07-00098A.
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Kurbatov, S.S., Naidenova, X.A., Ganapolsky, V.P., Martirova, T.A. (2023). Natural Language Processing and Functioning Ontological Solver with Visualization in an Integrated System. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2022. Lecture Notes in Networks and Systems, vol 543. Springer, Cham. https://doi.org/10.1007/978-3-031-16078-3_46
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