False. Semantic networks and frame networks are two different types of knowledge representation systems. Semantic networks are a type of network that represents knowledge as a set of nodes and links. The nodes represent concepts, and the links represent relationships between concepts. Frame networks are a type of network that represents knowledge as a set of frames. A frame is a data structure that represents a concept and its attributes. Semantic networks are more general than frame networks, and they can be used to represent a wider range of knowledge. Frame networks are more specific than semantic networks, and they are better suited for representing knowledge about objects and their properties.
Here is a diagram of a semantic network:
The nodes in the semantic network represent concepts, and the links represent relationships between concepts. For example, the link between the “dog” and “animal” nodes represents the fact that dogs are animals.
Here is a diagram of a frame network:
The frames in the frame network represent concepts, and the slots in the frames represent attributes of the concepts. For example, the “dog” frame has slots for the “name”, “breed”, and “color” of the dog.
Semantic networks and frame networks are both useful tools for
representing knowledge. The choice of which type of network to use depends on the specific application.