Dynamic ontology extension, a real-time ontology extension process, facilitates continuous learning and adaptation to new knowledge and evolving domains. The ability to dynamically add concepts, relationships, and axioms allows intelligent agents and knowledge-based systems to stay up-to-date and responsive. This paper presents a novel approach to dynamically extend the ontology of a chatbot’s Knowledge Base by leveraging BabelNet, a multilingual encyclopedic dictionary and semantic network. Using BabelNet’s semantic relations, such as hyperonyms, hyponyms, and holonyms, we focus on enriching the ontology with user profile information, enabling knowledge inference and personalized interactions. Through repeated interactions, the chatbot increases its level of intelligence, inferring new knowledge and asking targeted questions to users, resulting in effective interactions and increased user satisfaction.
