Abstract
The article describes the developed method of extracting semantic trees from text resources. This method is based on the use of a sequence of linguistic algorithms in constructing a syntactic sentence tree. The basis of the developed method is the algorithm for translating syntax trees of text fragments into the structures of semantic trees using a set of rules. A formal model of the rules is presented. The resulting semantic trees can be combined into a domain ontology taking into account the built-in relations between objects in the wiki resource. An example of our approach is also presented.
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Acknowledgments
This work was financially supported by the Russian Foundation for Basic Research (Grants No. 16-47-732054 and 18-37-00450) and Ministry of Education and Science of Russia in framework of project № 2.4760.2017/8.9 and Russian Foundation of base Research in framework of project № 17-07-00973 A.
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Yarushkina, N., Filippov, A., Moshkin, V., Dyakov, I. (2019). The Approach to Extracting Semantic Trees from Texts to Build an Ontology from Wiki-Resources. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 874. Springer, Cham. https://doi.org/10.1007/978-3-030-01818-4_13
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