Knowledge Graphs (KGs) help to give answers to questions. They reveal hidden connections, and they bring data structures closer to the human-like way of processing information. So close that they can be even visualized without the need to run any specific transformation or interpretation steps
Based on ‘Four Generic Problems addressed by Semantic Knowledge Graphs’, Andreas Blumauer, CEO of the Semantic Web Company, and Yanko Ivanov, Senior Consultant at Enterprise Knowledge talked about the benefits organizations gain from this approach of ‘smart data management’. Watch the on-demand webinar to learn more about the four generic problems, which are:
- Loosely connected data
- Too simplistic, disconnected data models
- Data models don’t keep pace with market dynamics
- Too abstract data models
If you would like to stay up to date with more information about Knowledge Graphs, be sure to join our Knowledge Graphs and Semantic AI LinkedIn Group to discuss with the Knowledge Graph Society and various industry experts!