ARTIFICIAL INTELLIGENCE AND ONTOLOGICAL DICTIONARIES: MODERN APPROACHES
Keywords:
Artificial Intelligence, Ontological Dictionaries, Natural Language Processing, Knowledge Representation, Semantic Web, Ontology Learning, Deep Learning, NLPAbstract
Ontological dictionaries are essential for knowledge representation and natural language processing (NLP) because they offer organized frameworks that connect machine-understandable concepts with human language. Significant progress has been made in the development, integration, and use of these dictionaries with the advent of artificial intelligence (AI), especially machine learning and deep learning methodologies. This study compares data-driven paradigms with traditional logic-based methodologies to examine modern techniques for creating and implementing ontological dictionaries in AI systems. There are case studies from biomedical text mining, intelligent assistants, and semantic search. The study ends with some thoughts on how multilingual ontologies, neuro-symbolic AI, and ontology learning might all intersect in the future.
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