2-10 Ontology and Graph Database: Conceptual and Technical Comparison

This podcast analyzes the fundamental distinctions between ontologies, which formally define concepts and their relationships within a domain, and graph databases, which are optimized for exploring practical data relationships using nodes and edges. It examines these technologies in terms of their structural characteristics, reasoning capabilities, implementation methods, and application examples, particularly in the context of semantic web standards and graph computing. It highlights how ontologies excel at modeling domain knowledge and logical inference, while graph databases are better suited for managing and querying large-scale, interconnected data. Ultimately, the research explores the complementary nature of these two approaches, especially for applications like those in the shipping and logistics industries.