Knowledge graphs and ontologies form the backbone of the Semantic Web by enabling the structured representation and interconnection of data across diverse domains. These frameworks allow for the ...

Relational databases are so entrenched and ubiquitous that we reflexively use them for new application requirements. However, graph databases are better for applications with specific processing ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

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

The presentation will introduce the DACM (Dimensional Analysis Conceptual Modeling) approach as a way to represent an engineering problem in the form of oriented colored graphs. The foundations of the ...

Graph database company Neo4j Inc. said today it’s embarking on a multiyear strategic collaboration with the cloud computing giant Amazon Web Services Inc. to enable enterprises to enhance the ...

Adopting AI requires a thorough, organized, prepared approach for it to best deliver on its plethora of lofty promises. Through the power of knowledge graphs, enterprises can fuel AI strategies with ...