Knowledge Graphs: Only the Essentials
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!
What is a Knowledge Graph?“It’s all about things, not strings: A Knowledge Graph represents a knowledge domain. It connects things of different types in a systematic way. Knowledge graphs encode knowledge arranged in a network of nodes and links rather than tables of rows and columns. By that, people and machines can benefit from a dynamically growing semantic network of facts about things and can use it for data integration, knowledge discovery, and in-depth analyses.”
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Awards and Recognitions
KMWorld 100 COMPANIES That Matter in Knowledge Management
KMWorld Trend-Setting Product of 2016, 2017 and 2018