ISSN 2411–4448 RU mail@intsysmagazine.ru

Intelligent Systems.
Theory and Applications

(Intellektual'nye Sistemy. Teoriya i Prilozheniya)

Methods and algorithms for automatic extraction of information from scientific texts for creating a scientific terminology thesaurus

Abstract

The paper proposes a method for automatic construction of a scientific terminology thesaurus based on algorithms for extraction of multi-word terms from special encyclopedias and scientific publications. The results of the algorithms for thesaurus creation and replenishment are presented on the example of mathematical text processing. We propose the algorithm for comparative semantic analysis of scientific publications and the ways of quantitative estimation of their semantic similarity.

Keywords: aspect-oriented analysis, scientific vocabulary, semantic graph, classification of scientific text, automatic processing of unstructured texts.

BibTeX
@article{IS-Vopilova-Kryuchkova2024,
  author  = {Vopilova, Elena Vladimirovna and Kryuchkova, Elena Nikolaevna},
  title   = {{Methods and algorithms for automatic extraction of information
    from scientific texts for creating a scientific terminology thesaurus}},
  journal = {Intelligent Systems. Theory and Applications},
  year    = {2024},
  volume  = {28},
  number  = {4},
  pages   = {21--31},
}
AMSBIB
\Bibitem{IS-Vopilova-Kryuchkova2024}
\by E.\,V.~Vopilova, E.\,N.~Kryuchkova
\paper Methods and algorithms for automatic extraction of information
    from scientific texts for creating a scientific terminology thesaurus
\jour Intelligent Systems. Theory and Applications
\yr 2024
\vol 28
\issue 4
\pages 21--31
\lang In Russian
Published under Creative Commons Attribution 4.0 International (CC BY 4.0)

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