Demo: a framework for location information processing

Abstract

Recently, with the advances in wireless communications and location positioning technology, the potential for tracking, correlating, and filtering information about moving entities (i.e., generally speaking any moving objects, such as airplanes, automobiles, trucks, cyclists, pedestrians, goods, and packages etc.) has greatly increased. The knowledge of spatial, temporal, and causal relationships between moving objects would allow the support of highly personalized and effective location-based services (LBS). Such services could track, correlate, and process object positions, object profiles, and past, present, and future object movement patterns.