Recently, the team at Iris.ai had the privilege of experiencing this firsthand during our company get-together in the mountain city – Velingrad, Bulgaria. This blog post aims to capture the essence of our experience and shed light on the importance of face-to-face interactions in a mostly remote working environment.
In this article, we will explain what knowledge graphs are, discuss their pros and cons, and delve into how Iris.ai uses them. A knowledge graph is a structured representation of information that captures relationships between entities in a way that is easily accessible and understandable for both humans and machines.
“Iris.ai assisted me with identifying more related papers for my literature review.”
“Iris.ai helped me find several highly relevant papers that occurred in chemical sciences journals I do not typically track, and otherwise would have missed them.”
“Iris.ai was interesting and very effective in what I needed to do, and it plugged in pretty well with my information infrastructure”
