Article by Steven Goldstein, CEO of ResoluteAI
We recently posted about data enrichment and the brief history of biomedical knowledge graphs. Here we step back a bit and look at graph databases and knowledge graphs from 30,000 feet. This post covers some of the basics about graph databases and knowledge graphs, and explains why they are valuable in scientific research.
Frequently cited examples of knowledge graphs are Facebook and LinkedIn, where the information about the people is valuable, but the connections between those people, or the network, has even more value. Similarly, the Google knowledge graph, which often populates the side panel in search results, aggregates connected information from multiple sources to provide a more comprehensive view of information on a given topic in one place.