Information Model

Information modeling focuses on creating structured representations of data to facilitate knowledge discovery, decision-making, and system integration. Current research emphasizes the use of AI, particularly large language models and deep learning, to automate model creation, improve data characterization (e.g., identifying valuable data subsets), and enhance model interpretability through techniques like algebraic learning. These advancements are significantly impacting diverse fields, from urban planning and building design (via improved BIM workflows) to manufacturing and intelligent transportation systems, by enabling more efficient data management, analysis, and the development of sophisticated decision support systems.