Eventshop: from heterogeneous web streams to personalized situation detection and control

The Web now has enormous volume of heterogeneous data being continuously reported by different sensors and humans from different locations. These data flows can be considered as spatio-temporal-thematic streams. Combined effectively, these streams can be used for detecting situations and saving lives and resources. We describe a system to combine streams from heterogeneous data sources, process them to detect situations, and use the detected situations to aid millions of users. This system uses a unified data model to integrate different web streams, and provides a set of generic operators to detect spatio-temporal characteristics of individual or combined data streams to detect complex situations. The detected situations can be combined with user parameters to provide personalized information and action alerts.