Ontological models are extensively used in information support systems that offer resources and services for solving management, design, and scientific and technical problems. Specifically, domain ontologies are commonly utilized in decision support systems. In the ontological modeling of complex systems, there arises a need to automate the process-es of handling ontological resources. This work discusses the main software systems and methodologies for ontological modeling, approaches to automating the processes of creating, populating, and using ontological models, and considers the temporal aspect of the ontological representation of objects. The aim of the work is to explore methods for auto-mating the life cycle of ontological resources and to analyze the extent of their adaptation in applied ontologies. The work highlights a relatively high degree of automation in the process of populating ontologies and the use of large lan-guage models in this process. However, it points out the lack of methods for automating the conversion of information from tables and diagrams into ontological models, as well as for validating and processing the content of the model. Promising directions for automating work with ontological resources are also indicated.