tudásgrafokban
Tudásgrafokban, often translated as "knowledge graphs," represents a structured way of representing information. It models entities, such as people, places, or concepts, and the relationships between them. These relationships are typically represented as edges connecting nodes, forming a graph-like structure. The core idea is to make complex data understandable and machine-readable, facilitating better analysis and retrieval.
The development of knowledge graphs has been driven by the need to organize and connect vast amounts
Applications of knowledge graphs are widespread. In artificial intelligence, they are crucial for natural language understanding,