Semantic Network Representation

2. Semantic Network Representation

Semantic networks represent knowledge using a graph-based structure, where nodes represent objects or concepts and edges define relationships between them.

Types of Relations:

• IS-A Relationship: Represents inheritance (e.g., "A cat is a mammal").

• Kind-Of Relationship: Describes categorization (e.g., "Mammals are animals").

Schema:

  [Jerry] --IS-A--> [Cat]
  [Cat] --IS-A--> [Mammal]
  [Mammal] --IS-A--> [Animal]
  [Jerry] --HAS--> [Brown Color]
  [Jerry] --OWNED-BY--> [Priya]

Advantages:

• Provides a natural and intuitive way to represent knowledge.

• Easily extendable and visually interpretable.

Disadvantages:

• Can become computationally expensive due to network traversal.

• Lacks standardization for defining relationships.

• Does not inherently support quantifiers such as "for all" or "some."