Semantic network (Frame network) in Knowledge Representation of Artificial Intelligence

A semantic network, (also referred to as a frame network) is a graphical interpretation of structured and unstructured information that can be used by the computer system that represents semantic relations between abstract ideas or general notions that occur in the mind, in speech, or in thought. It is used as a form of knowledge representation where we represent the information about the things in the universe in a form that a computer system can utilize to solve complex tasks.

A semantic net ( associative net) is mostly a guided/directed or unguided network graph. It consists

• Vertices/nodes : Represent concepts. In these network graphs, nodes appear in form of circles or ellipses or even rectangles that represent objects (Physical objects, Concepts, or Situations).
• Edges/links : Represent semantic relations between those concepts. Links appear as lines/arrows to express the relationships between objects. The arrowhead is being used in guided/directed graphs.
• Link labels : Specify relations between those nodes.

It is being used to

• Represent data
• Reveal structures (relations between the objects, proximity, and relative importance)
• Support conceptual edition
• Support navigation