The correct answer is False.
Semantic networks and frames are two different types of knowledge representation. 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. Frames are a type of knowledge representation that represents knowledge as a set of slots and values. The slots represent properties of concepts, and the values represent the properties of those concepts.
Spreading activation is a technique that can be used to retrieve information from a semantic network. It works by starting with a node and then spreading activation to the nodes that are connected to it. The more connected a node is, the more activation it will receive. This process continues until a node with the desired information is reached.
Frames cannot be queried using spreading activation because they do not have a network structure. Instead, they are a set of slots and values. To retrieve information from a frame, you must know the name of the slot and the value that you are looking for.
For example, if you have a frame for a person, the slots might be name, age, and occupation. To retrieve the person’s name, you would simply look up the name slot in the frame. To retrieve the person’s age, you would look up the age slot in the frame.
Spreading activation cannot be used to retrieve information from a frame because there is no way to determine which slots are connected to each other. The only way to retrieve information from a frame is to know the name of the slot and the value that you are looking for.