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.

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 ...

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.

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

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.

Data warehousing is good for static BI projects, but knowledge graphs must be able to power insights in real time, otherwise they simply won’t work for applications like real-time recommendations, ...

For example, when Google started using knowledge graphs to enable semantic search in 2012, other technology companies like Facebook and Microsoft realized their power and started implementing them.

How to use knowledge graphs to improve customer experience — digging into the healthcare example.

These examples highlight how knowledge graph-based tools can support group-based learning in online learning platforms. Using these methods, educators can transform the content of their formal courses ...

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...