Semantic Network

A Semantic Network or net is a graphic notation for representing knowledge in patterns of interconnected nodes and arcs. Computer implementations of semantic networks were first developed for artificial intelligence and machine translation, but earlier versions have long been used in philosophy, psychology, and linguistics. Subtypes: Definitional Network, Assertional Network, Implicational Network, Executable Network, Learning Network, Hybrid Network... The chief advantage of Graph Notation is the ability to show direct connections. Linear Notation must rely on repeated occurrences of variables or names to show the same connections.

Everything Is A Graph