Abstract:
This paper describes a method and technology for processing natural language texts and
extracting data from the text that correspond to the semantics of an ontological model. The proposed
method is distinguished by the use of a Large Language Model algorithm for text analysis. The
extracted data are stored in an intermediate format, after which individuals and properties that reflect
the specified semantics are programmatically created in the ontology. The proposed technology is
implemented using the example of an ontological model that describes the geographical configuration
and administrative–territorial division of Kazakhstan. The proposed method and technology can be
applied in any subject areas for which ontological models have been developed. The results of the
study can significantly improve the efficiency of using knowledge bases based on semantic networks
by converting texts in natural languages into semantically linked data.
