Knowledge Graph

A Knowledge Graph is a structured representation of knowledge that captures relationships between entities in a graph format. It consists of nodes, which represent entities (such as people, places, organizations, or concepts), and edges, which represent the relationships or connections between these entities. Knowledge Graphs are used to organize information in a way that makes it easily accessible and understandable, allowing for enriched data retrieval, enhanced search capabilities, and better insights from information.They leverage technologies from fields like artificial intelligence, semantic web, and graph theory to connect disparate data points across various domains. This interconnected structure enables applications such as recommendation systems, natural language processing, and even conversational agents to derive context and relevance from complex datasets. Knowledge Graphs are widely used by companies like Google and Facebook to enhance their search engines and provide users with more relevant information based on context and relationships rather than just keyword matching. In summary, a Knowledge Graph serves as a powerful tool for modeling and navigating the web of knowledge.