What exactly are knowledge graphs, and what's with all the hype about them? Learning to tell apart hype from reality, defining different types of graphs, and picking the right tools and database ...

The enterprise knowledge graph is a knowledge representation system based on graph structures. It integrates multi-source data from both internal and external sources (such as business information, ...

Example of a sub-graph constructed from the QIAGEN biomedical knowledge graph. In this knowledge graph representation, gene and gene product entities are aggregated at the ortholog cluster level.

For example, they recently released the Knowledge Graph Carousel for local searches, as well as expanded the Knowledge Graph to include nutritional information on over 1000 foods.

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 ...

But how do knowledge graphs work in practice? Well, one of the best examples is its effect on SEO. How knowledge graphs work with SEO ...

This article explores what knowledge graphs are, why they are becoming a favourable data storage format, and discusses their potential to improve artificial intelligence and machine learning ...

For example, here is a Knowledge Graph result that appears for online computer hardware and software retailer Newegg. The ideal result for them would be a branded Knowledge Graph result.