Ontology-Driven Knowledge Graph Construction in the Mathematics Semantic Library

The paper discusses an approach to constructing a knowledge graph based on a digital semantic library. The library ontology defines the data structure of the library content. Each data element loaded into the library can be associated with an ontology vertex, which determines the position of the dat...

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Bibliographic Details
Published inPattern recognition and image analysis Vol. 34; no. 3; pp. 448 - 455
Main Authors Ataeva, O. M., Serebryakov, V. A., Tuchkova, N. P.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.09.2024
Subjects
Computer Science
Image Processing and Computer Vision
Pattern Recognition
Pria Journal Special Issue Xxi National Conference on Artificial Intelligence with International Participation (Cai-2023/Section) 1 “Knowledge Engineering”
subject area
semantic relations
knowledge graph
ontology
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Summary:The paper discusses an approach to constructing a knowledge graph based on a digital semantic library. The library ontology defines the data structure of the library content. Each data element loaded into the library can be associated with an ontology vertex, which determines the position of the data element in the ontology. The knowledge graph is built on the basis of ontology connections and connections determined at the stage of creating a semantic description of the subject area in the library. Using the example of the ontology of the Mathematics subject area in the LibMeta library, the technology for generating a knowledge graph of encyclopedic knowledge and modern applications in mathematics is discussed. The problems of filling the graph, embedding data in the graph, and extracting connections and nodes of the graph are discussed.
ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661824700196