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Ontology-Controlled Geometric Solver

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Artificial Intelligence (RCAI 2020)

Abstract

The paper describes an ontology-controlled geometric solver. The solver functions as a part of an integrated problem-solving system with a natural language interface. It is implemented in a prototype version of the system for the “school geometry” subject area. We described the solver interaction with the system linguistic processor, ontology, and the graphic component. We provided examples demonstrating automated solving non-trivial geometric problems formulated in a natural language. We suggested using cognitive structures in the dialogue for an effective linguistic analysis and building up a correct drawing.

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Acknowledgment

This study was supported by the Russian Foundation for Basic Research (projects ## 18-07-00098, 18-29-03088, 18-07-00213). The authors are grateful to A.P. Lobzin and T.N. Asmayan for their assistance in testing the system.

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Correspondence to Aleksandr B. Vorobyev .

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Kurbatov, S.S., Fominykh, I.B., Vorobyev, A.B. (2020). Ontology-Controlled Geometric Solver. In: Kuznetsov, S.O., Panov, A.I., Yakovlev, K.S. (eds) Artificial Intelligence. RCAI 2020. Lecture Notes in Computer Science(), vol 12412. Springer, Cham. https://doi.org/10.1007/978-3-030-59535-7_19

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  • DOI: https://doi.org/10.1007/978-3-030-59535-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59534-0

  • Online ISBN: 978-3-030-59535-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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