In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies ...

When enhanced by the rich, self-describing nature of semantic knowledge graphs, data mesh and data fabric can greatly complement one another.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management ...

Different types of graphs and charts are needed to present results from experiments. Graphs and charts need to be drawn and labelled correctly. Use patterns in the data to reach a conclusion in an ...

Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models ...

Data can be presented in many ways that make it quicker and easier to read.

The bottom line is that “graph databases are a type of NoSQL database that stores data as a network of interconnected nodes and edges,” Nadkarni explained. “They manage complex relationships between ...

Semantic graphs create meaning by mapping entities, their metadata, and their relationships in an evolving information network. By applying a fundamentally different approach to data integration, ...

Right now, knowledge graphs are changing data integration, search, analytics, and recommendations. Underneath the hood, you’ll find Linked Data.