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Abstract <p>The work is devoted to the problem of data integration for representing scientific subject areas based on their semantic description in the SciLibRu digital library. The LibMeta library’s ontology and knowledge graph are used as the data model. SciLibRu is populated by adding data from scientific journals. This paper demonstrates how the stages of processing semistructured scientific publications for their integration into the library’s ontology are implemented. Completion of all stages of the data preprocessing yields a dataset that can be used to train language models for queries in Russian-language scientific subject areas.</p>

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SciLibRu, the Library of Scientific Subject Domains

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • O. M. Ataeva,
  • N. P. Tuchkova,
  • K. B. Teymurazov,
  • A. Abdyshov,
  • M. G. Kobuk

摘要

Abstract

The work is devoted to the problem of data integration for representing scientific subject areas based on their semantic description in the SciLibRu digital library. The LibMeta library’s ontology and knowledge graph are used as the data model. SciLibRu is populated by adding data from scientific journals. This paper demonstrates how the stages of processing semistructured scientific publications for their integration into the library’s ontology are implemented. Completion of all stages of the data preprocessing yields a dataset that can be used to train language models for queries in Russian-language scientific subject areas.