Knowledge Map

Knowledge maps are visual representations of interconnected concepts and data, aiming to organize and clarify complex information for improved understanding and decision-making. Current research emphasizes developing scalable and interpretable models, often integrating Bayesian inference or hierarchical generative approaches, to create dynamic knowledge maps from diverse data sources, including those generated by machine learning models. These advancements are particularly impactful in fields like personalized education and digital agriculture, where they facilitate efficient knowledge extraction, explainability of AI systems, and ultimately, more informed actions.