Development of a Tool for Constructing a Knowledge Graph Using Gan

The main objective of this research was to develop a tool capable of automatically extracting and structuring information from textual data using generative networks to construct knowledge graphs. The developed tool demonstrated high efficiency in automating the extraction and transformation of text into RDF triplets, ensuring accurate and complete knowledge graph construction. Testing on various text datasets confirmed its high performance and precision. The created model enables automation of information processing and can be applied across different domains to solve knowledge graph construction tasks.