The Knowledge Graph is a database used by search engines to enhance search results with semantic search information gathered from various sources. It focuses on the connections between entities — people, places, things — and their relationships. The evolution of the Knowledge Graph represents a move toward semantic understanding and context-aware search.
Features include:
- Entity Recognition: Identifying key subjects in queries.
- Relationship Mapping: Understanding how entities are connected.
- Direct Answers: Providing information panels or infoboxes on the Search Engine Results Page (SERP).
In daily life, the Knowledge Graph provides quick access to factual information directly in the search results, such as summaries of notable people, places, or events. This enhances the user experience by reducing the need to visit multiple sites for basic information. Appearing in the Knowledge Graph can significantly boost visibility and credibility for businesses. Optimizing content with structured data and clear entity definitions helps search engines understand and feature this information. Trust is reinforced when the Knowledge Graph provides accurate and authoritative information.
(See also Semantic Search and Entity Recognition.)