Linked Data is data that is encoded alongside it’s semantic meaning. Linked data has been championed by numerous organizations in pursuit of a more semantic web. And linked data is central to some knowledge bases and all knowledge graphs.
The strength of data that holds semantic meaning is that smart systems can be fed linked data to parse through a series of human or AI-generated rules. This allows for the automated expansion of knowledge as well as the building blocks for expert systems.
Diffbot’s Knowledge Graph™ entities are populated with linked data extracted from across the web. The nature of interlinked entities is that they can provide room to traverse and make comparisons including parent and child entities that are not easily analyzable without linked data.