Processing spatio-temporal queries pertaining to the whereabouts-in-time of a large number of mobile entities has traditionally been the topic of the Moving Objects Databases (MOD) research. More recently, due to the advances in sensing and communication technologies, part of the Wireless Sensor Networks (WSN) applications have focused on tracking of mobile objects. These two observations are enough of to warrant a "call" for a confluence of two relatively new but established disciplines. However, we observe that a research field of its own right and, historically, older than both MOD and WSN-traffic/transportation management-can also capitalize on merging the existing experiences for its own information fusion desiderata. In this talk, we will overview applications from seemingly disparate domains and identify their commonalities in terms of the spatio-temporal contexts, and we will discuss how a reactive behavior with pro-active consequences can be efficiently used for large-scale management of mobile data and meta-data.