<p>A <a target="_blank" href="https://www.almabetter.com/bytes/tutorials/artificial-intelligence/semantic-network-in-ai">semantic network in AI</a> is a graphical representation of knowledge that illustrates concepts and the relationships between them. Nodes represent entities or concepts, while edges depict the relationships or associations, such as "is a," "has a," or "part of." This structure facilitates understanding, reasoning, and inferring new information by linking related concepts. Semantic networks are used in natural language processing, knowledge representation, and expert systems to model complex relationships and enhance comprehension. They enable machines to process and interpret the interconnectedness of concepts, simulating human-like understanding and reasoning in AI applications.</p>


A [semantic network in AI](https://www.almabetter.com/bytes/tutorials/artificial-intelligence/semantic-network-in-ai) is a graphical representation of knowledge that illustrates concepts and the relationships between them. Nodes represent entities or concepts, while edges depict the relationships or associations, such as "is a," "has a," or "part of." This structure facilitates understanding, reasoning, and inferring new information by linking related concepts. Semantic networks are used in natural language processing, knowledge representation, and expert systems to model complex relationships and enhance comprehension. They enable machines to process and interpret the interconnectedness of concepts, simulating human-like understanding and reasoning in AI applications.

Semantic Network in AI