ismeretgráfban

ismeretgráfban is a Hungarian term that translates to "knowledge graph" in English. It refers to a structured representation of information that uses a graph-based model. In this model, entities are represented as nodes, and the relationships between these entities are represented as edges. These edges are typically labeled to describe the type of relationship. For example, in a knowledge graph about people and their occupations, a node representing "Albert Einstein" might be connected by an edge labeled "was a" to a node representing "physicist".

Knowledge graphs aim to organize and connect disparate pieces of information in a way that is both human-readable and machine-understandable. This allows for more sophisticated querying, reasoning, and data integration. They are used in a variety of applications, including search engines, recommendation systems, artificial intelligence, and data management. The interconnected nature of knowledge graphs allows for the discovery of implicit connections and the inference of new knowledge. Building and maintaining knowledge graphs often involves extracting information from various sources, such as databases, text documents, and the web, and then representing it in a standardized, graph-like structure. The underlying technologies often involve semantic web standards and graph databases.