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Ontological Approach to a Knowledge Graph Construction in a Semantic Library

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Abstract

The paper considers an approach to a knowledge graph construction based on the ontological representation of scientific subject areas. The presentation is based on concepts related to information and data mining, such as knowledge, knowledge extraction, domain ontology, scientific domain, thesaurus, semantic digital library, user information need, ontological design method and, in fact, the knowledge graph. The digital semantic library LibMeta is presented as a repository of various structured data with the possibility of their integration with other data sources. Assumes the possibility of specifying personal content by describing a local subject area within LibMeta. The ontology of the content of the semantic library acts as a means of formalization. This paper addresses the experience of building semantic libraries based on thesauri and ontological design. Building ontologies based on the thesaurus of the subject area LibMeta allows us to say that the presence of internal semantic links ensures the consistency and reliability of search results, which is a necessary condition for extracting scientific knowledge. The digital library ontology defines the data structure of the library content. Each data element loaded into the library can be associated with an ontology vertex (top) that determines the position of the data element in the ontology. Based on the ontology links and the links defined at the design stage, you can build a data graph. On the example of the ontology of the LibMeta semantic library, the technology of forming the knowledge graph of modern applications in mathematics is discussed. The problems of filling a graph, embedding in a graph, extracting links and nodes of a graph are discussed.

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  1. https://mkmk.ras.ru/en/

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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 the Russian Science Foundation, grant no. 22-21-00449.

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Authors and Affiliations

  1. Federal Research Center ‘‘Computer Sciences and Control,’’ Russian Academy of Sciences, 119333, Moscow, Russia

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

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

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(Submitted by A. M. Elizarov)

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Ataeva, O.M., Serebryakov, V.A. & Tuchkova, N.P. Ontological Approach to a Knowledge Graph Construction in a Semantic Library. Lobachevskii J Math 44, 2229–2239 (2023). https://doi.org/10.1134/S1995080223060471

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