Semantic Network

Semantic networks represent knowledge as interconnected nodes (concepts) and edges (relationships), aiming to model and analyze complex information. Current research focuses on leveraging large language models (LLMs) to automatically construct and enhance these networks, particularly for applications in diverse fields like human resources, scientific literature analysis, and brand management. These advancements improve knowledge representation, facilitate tasks such as link prediction and information retrieval, and offer valuable insights for decision-making in various domains.