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Using Applied Ontology to Saturate Semantic Relations

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Abstract

The paper addresses the issue of filling the gaps in the semantic library based on the distributional semantics of the terms of its thesaurus and the ontology relations. The goal of the study is to fully reflect the actual structure of relations between mathematical subject domains. This is done through identifying context-sensitive semantic relations, and with the use of an algorithm that is based on the word2vec feedforward neural networks. The understanding of the query is analyzed after preliminary processing of set of articles and metadata saturation. The proposed procedure helps to improve the work with the full-text index and, as a result, improves the quality of search in the library. Using a full-text index of a digital semantic library as an example, we demonstrate the process of filling gaps by saturating the semantic relations of the ontology of mathematical subject domains.

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Funding

This work was supported by budget topics of the Ministry of Science and Higher Education of the Russian Federation ‘‘Mathematical methods for data analysis and forecasting’’ and particular by the Russian Foundation for Basic Research, project no. 20-07-00324.

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Authors and Affiliations

  1. Dorodnicyn Computing Center FRC ‘‘Computer Sciences and Control’’, Russian Academy of Sciences, 119333, Moscow, Russia

    O. M. Ataeva, V. A. Serebryakov & N. P. Tuchkova

Authors
  1. O. M. Ataeva
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  2. V. A. Serebryakov
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  3. N. P. Tuchkova
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Corresponding authors

Correspondence to O. M. Ataeva, V. A. Serebryakov or N. P. Tuchkova.

Additional information

(Submitted by A. M. Elizarov)

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Ataeva, O.M., Serebryakov, V.A. & Tuchkova, N.P. Using Applied Ontology to Saturate Semantic Relations. Lobachevskii J Math 42, 1776–1785 (2021). https://doi.org/10.1134/S1995080221080059

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