ResoluteAI Blog Biomedical knowledge graphs: A short history

A couple of weeks ago we wrote about scientific data enrichment. Our goal was to highlight the use of ontologies, taxonomies, and controlled vocabularies to facilitate research across multiple disparate databases. This post is about early academic work in biomedical knowledge graphs, which require a significant amount of data enrichment to perform well and deliver on a range of use cases. In future posts we will delve more deeply into graph databases, and how ResoluteAI is connecting concepts that would not easily be revealed through other types of data structures.