- Knowledge graphs are behind the scenes relationship managers
- Knowledge graphs commonly underpin search experiences
- Putting users first leads to knowledge graph success
Predictive UX shares their insight on the question, "Just what is a knowledge graph?" on Episode #55 of Data Mesh Radio.
Text transcript from Karen's answer to this question:
Text transcript from Steve's answer to this question:
I define a knowledge graph as the application of a common understanding to data stored in a graph structure. This application of a common understanding enables us to analyze and query massive amounts of data efficiently. That is the real power of knowledge graphs.
Over the past 20 years, knowledge graphs have made tremendous strides in helping to organize data, surface data, store data, make data more accessible and more recently the ability to apply machine learning to the data.
There has been a tremendous amount of interest in knowledge graphs, but we may have lost sight of the end user. If the Gartner HypeCycle is any indication, knowledge graphs are at the precipice of the “Trough of Disillusionment,” and I strongly believe the end users, data consumers and business leaders are the keys to getting us through the “Trough of Disillusionment” and onto the path of the enlightenment. And I am excited to lead the KG community through this disillusionment and into enlightenment, hand in hand with the users, data consumers and business leaders working with knowledge graphs today.