High level use cases

Now that the KG, KB, and GenAI background technology review has been set with many examples, let’s get into the high level use cases, starting with the Health Sciences Knowledge Graph (KG).

Health Sciences Knowledge Graph (KG)

When working at Elsevier, the world’s largest provider of medical information to scientists, clinicians, doctors, nurses, and researchers, the core problem was that this corpus was locked up in text form. It and any newly published research had to be freed from its text form and the knowledge distilled for reuse. Doing more with less was and still is imperative when the value of insight can save a life or lead to discoveries. It was an exciting problem to tackle! Having that much information available is a great opportunity, but the challenge is how to parse it out of the text since the knowledge to understand it is a niche specialty of select subject matter experts. ML/AI algorithms train on big data with lots of inputs...