Semantic Reasoning is a form of artificial intelligence, that is an inference engine. It can infer consequences from a set of facts and rules, or ontologies, and can combine knowledge it has stored to draw conclusions that aren’t defined by an algorithm. This is because semantic reasoning relies on simplified representations of concepts, relationships and rules; and then reasons over this data. An example of a simplified representation is by using a knowledge graph to store data, where data is stored as an easy to understand “triple”.
To find out more about knowledge graphs, visit our “How do Knowledge Graphs work?” burning question.