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

A recent scoping review provides readers with aggregated documentation of the state-of-the-art knowledge graph applications in medical imaging analysis to encourage future research. The review was ...

Context, not content, now drives AI visibility, making structured data the strategic data layer every enterprise must ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

LONDON--(BUSINESS WIRE)--Cloud enterprise software leader BlackSwan Technologies has won the category for the Most Innovative Implementation of Knowledge Graph Technologies at the 2022 A-Team Insight ...

The core of this patent lies in its ability to generate multimodal hybrid interview questions. The system dynamically generates personalized interview questions based on candidates' resumes and ...

Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, using connections for decision support, and adding context to AI ...

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database and ...