Knowledge Model

Knowledge models aim to represent and structure information for improved accessibility, analysis, and utilization. Current research focuses on automating knowledge model creation from diverse sources like clinical guidelines and social network data, employing techniques such as ontology engineering, machine learning (e.g., SVMs), and the integration of large language models with knowledge graphs. These advancements are impacting fields like healthcare (improving access to clinical information) and social sciences (enabling more efficient analysis of complex social networks), ultimately leading to more effective knowledge management and decision-making.