Methods of semantic annotation and ontological modeling of mathematical texts in LaTeX format
M.G. Kobuk, O.M. Ataeva
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Source: Crossref
Published: Jan 1, 2026
DOI: 10.18127/j20729472-202601-18
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Problem statement. This work addresses the problem of structuring scientific articles for building data corpora within the SciLibAIRU semantic ecosystem, and the transition from a document-oriented data representation to a format suitable for automated analysis and semantic search. Objective. The objective of this work is to investigate an optimal method for vector-based fuzzy search over mathematical texts and to implement it in conjunction with a parser for mathematical LaTeX texts. Results. A prototype vector search system is proposed that is capable of ingesting LaTeX versions of scientific texts and providing a fuzzy search interface over textual fragments within the SciLibAIRU library. Practical significance. The results are applicable to library and editorial information systems.
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