APPLICATION OF ONTOLOGICAL ENGINEERING METHODS IN OPTIMIZATION OF COMPLEX ML MODELS AND AI APPLICATIONS

In today's world, artificial intelligence (AI) and machine learning (ML) play a key role in many areas of human activity. However, the complexity insufficient definition relevant models can create problems their efficiency, interpretability management when implementing technologies based on AI ML. That is why it important to use ontological engineering methods improve these models. Ontological an approach that makes possible represent knowledge dependencies between them special information structures, so-called ontologies. Ontologies define concepts, relationships, rules describe domain or problem area. At same time, comparison with others, have extended functionality, which brings manipulation ontologies closer thinking process.