Abstract
This article presents an integrated approach that combines neural network and ontolinguistic paradigms. The method encompasses methodological underpinnings, information technology, and the MedRehabBot system. Collectively, they embody the core principles of meta-learning and structured prompts, ultimately enhancing the efficiency of information system interaction with Chatbots and information retrieval rooted in ontologies. The method also offers the flexibility to adapt the MedRehabBot system for utilization within different Large Language Model (LLM) systems. Keywords: transdisciplinary scientific research, ontology, ontological engineering, ontology-driven information system, LLM-system, ChatGPT, MedRehabBot, prompt engineering, Chatbot.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
