Method for Creating Domain-Specific Dataset Ontologies from Text in Uncontrolled English

Automated understanding of activities in enterprises is challenging due to a lack of domain specifications and a lack of domain ontologies. The goal of this research is to develop a method to extract elements of domain-specific processes from textual documents in unstructured English and form domain dataset ontologies. In order to achieve the goal, the related work on discourse analysis and business process modelling have been considered. The prominent technologies for implementation of the proposed method are machine learning, including classification algorithms and natural language processing using a large language model. The first experimental results are presented, and further research is discussed. Potentially, the method proposed can be implemented as a part of some assisting tool for system analysts and can support an analysis of the domain-specific information by providing contextual information from this and potentially related domains.