Conceptual Model of Neural Network Algorithmization of Semantic Processing of Scientific and Technical Information

The use of neural network language models to increase the efficiency of processing scientific and technical information (STI) on the Internet from the point of view of cognitive information retrieval is considered. A conceptual model is proposed to identify subject areas that corresponding to the ob...

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Published inAutomatic documentation and mathematical linguistics Vol. 59; no. 2; pp. 78 - 85
Main Authors Pistsov, S. M., Trusov, V. A.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.04.2025
Springer Nature B.V
Subjects
Computer Science
Indexing
Information retrieval
Information Search
Information Storage and Retrieval
Internet resources
Large language models
Neural networks
Technical information
cognitive information retrieval
document indexing
information retrieval systems
centroid
neural networks
scientific and technical information
metasearch system
semantic search
language models
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Summary:The use of neural network language models to increase the efficiency of processing scientific and technical information (STI) on the Internet from the point of view of cognitive information retrieval is considered. A conceptual model is proposed to identify subject areas that corresponding to the object of information need based on existing STI classification systems. The model is based on the principles of coordinate indexing incorporating methods of detecting and tracking topics and the use of large language models to analyze the information space of the user’s information needs, metasearch of Internet resources, automatic abstracting and ranking of relevant documents.
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ISSN:0005-1055
1934-8371
DOI:10.3103/S0005105525700529