Researchers have developed an ontology-supported AI model and dataset management platform. The platform aims to improve the exchange and analysis of AI models and datasets by providing a common understanding of what is required in these tasks. It uses an ontology to help tackle issues such as tracking progress, enabling transparent comparisons, and fostering a more profound understanding of AI. The platform's utility is demonstrated through a use case in real-time critical systems. --- Why it matters: This matters because effective management of AI models and datasets is crucial for advancing research and applications. The platform's ontology-supported approach can help bridge semantic gaps between different organizations and enable better tracking, tracing, and analysis of AI assets. Source: https://arxiv.org/abs/2608.21224