Philip Schmiegelt

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Situation awareness refers to the capability of systems to perceive an existing or predicted context that determines the values of variables in a changing environment. Despite the enhanced support for managing timestamped data, current database systems still lack mechanisms for handling temporal situations in which data may change frequently. We present(More)
The “AIrspace Monitoring System” (AIMS) analyzes flight data streams with respect to the occurrence of freely definable complex events considered critical or at least relevant by its users. In contrast to already existing tools which often focus on a single task like flight delay detection, AIMS represents a general approach to a comprehensive(More)
We investigate the possibility to use update propagation methods for optimizing the evaluation of continuous queries. Update propagation allows for the efficient determination of induced changes to derived relations resulting from an explicitly performed base table update. In order to simplify the computation process, we propose the propagation of updates(More)
Since navigation systems and tracking devices are becoming ubiquitous in our daily life, the development of efficient methods for processing massive sets of mobile objects are of utmost importance. Although future routes of mobile objects are often known in advance in many applications, this information is not fully utilized in most methods so far. In this(More)