A knowledge graph is a knowledge model used by search engines such as Google and other technology companies to store and visualise information and relationships between different entities in a structured form.

Essentially, a knowledge graph is a collection of data that comes from various sources, such as Wikipedia, Freebase and other databases. This data is structured and linked in a way that makes it possible to understand and visualise the relationships between different entities, such as people, places, companies and products.

A knowledge graph is more than just a mere compilation of information. By linking entities and creating relationships between them, complex connections and dependencies can be uncovered that might otherwise not be recognised. This enables search engines and other applications based on knowledge graphs to deliver more relevant and accurate results.

In the field of neuroweb design, a knowledge graph can help create a better user experience by improving search queries and navigation on a website. By structuring information in a clear and easy-to-understand form, neuroweb designers can improve user-friendliness and navigation on a website, increasing dwell time and user engagement.