By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.

Knowledge graphs – a graphic representation of entities in a linked network − have the potential to solve many data integration challenges that pose a significant barrier to the use of AI.

Automotive giant Daimler is using Neo4j's graph database technology in its HR department. ZDNet spoke to Jochen Linkohr, the manager of HR IT at Daimler, to find out more.

Learn how to use Google Data Studio's Community Connectors to incorporate, integrate, and visualize data from any third-party source.

Graph databases are proven architectures for storing data with complex relationships. Why aren't more companies using them?

Based on the findings of our study, here are four tips on integrating social media into the curriculum using knowledge graph-based tools. Integrate transdisciplinary learning material One of the most ...

Learn how large language models like ChatGPT make knowledge graph creation accessible, revealing hidden connections in your data.

Learn how to interpret and construct graphs in this guide for students aged 11 to 14 from BBC Bitesize.