Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Knowledge graphs are reshaping how we organize and make sense of information. By connecting data points and revealing relationships between them, these powerful tools are transforming industries ...

How A Knowledge Graph Works A knowledge graph visualizes data in a graph format, mapping the complex relationships between data entities. Nodes represent data points like objects, events or ...

When Kerns and Wilmer issued a similar challenge, they found that the bar graph sketches made by study participants fell into two camps: Sketches either illustrated an accurate interpretation of an ...

A: Well, graphs are particularly good at allowing the user to think about, discover and learn about connections between data items. That's the whole point; these connections are first-class citizens.

This graph-shaped amalgamation of data points, relationships, metadata, and meaning is what we call a knowledge graph. Google introduced the term in 2012, and it’s now used far and wide.

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...

Neo4j is among the graph database vendors who have been around the longest, and it now is the best-funded one, too. But that does not mean it's the only one worth keeping an eye on. Amazon entered ...