The group aims to bridge gaps between peer-to-peer database architectures and scaling multimedia information retrieval. They develop a probabilistic multimedia database system with abstraction layers for applications and researchers. They also research challenges of peer-to-peer networks for distributed data management. Both lines are supported by the MonetDB platform to exploit custom hardware and adaptive query optimization. The goal is a modular solution linking theoretical optimal solutions to application demands under resource limitations.