Almost every enterprise has to deal with it: maintenance of machines and infrastructure. Traditional maintenance concepts rely on a 'fixed interval approach', taking into account a considerable safety margin. As a result, maintenance almost always occurs either too early or, in worse cases, too late. This arguably makes it one of the most inefficient and simultaneously critical activities in the industry. The CIMPLO platform aims to optimize the perfect moment (both cost and safety-wise) to perform maintenance on engines.

The Semantic Web needs interfaces for critical, reliable analyses of Big Data for research in humanities, cultural heritage, and creative industries. Utilizing data on the production and consumption of cultural goods, geodata, maps, and building plans from the Golden Age, the project 'Virtual Interiors' unlocks the research potential of large historical data in a geospatial context. The project is funded by NWO Smart Culture – Big Data/Digital Humanities.