Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Graph database query languages are growing, along with graph databases. They let developers ask complex questions and find relationships.

DZD, the German Federal Diabetes Research Centre, is using a Neo4j graph database to link up Covid-19 scientific research and scientists.

Lyft's "Amundsen" metadata system is an example of how knowledge graphs are spreading throughout companies with grass-roots projects. It's all part of winning hearts and minds, in the view of ...

Knowledge Graphs are quickly being adopted because they have the advantages of linking and analyzing vast amounts of interconnected data. The promise of graph technology has been there for a decade.

Graph database startup Neo4j raised $320 million at an over $2 billion valuation, highlighting the value of graph databases.

Diffbot today announced the launch of Diffbot Knowledge Graph (DKG): all of the knowledge on the Web, collected and connected into a single, structure ...

At Data Summit Connect 2020, Thomas Cook, director of sales, Cambridge Semantics, explained the basics of knowledge graphs and how they leverage natural-language processing to automate the ...

Graph databases have always been useful to help find connections across a vast data set, and it turns out that capability is quite handy in artificial ...

But the Microsoft Graph and LinkedIn aren’t Microsoft’s only graphs with APIs: Dynamics 365 has the Common Data Service, a way of describing standard items in a business.