Abstract
Query languages for multi-sensor data sources are generally dealing with spatial–temporal data that in many applications are of geographical type. Such applications are quite often concerned with dynamic activities where the collected sensor data are streaming in from multiple sensors. Data uncertainty is one of the most important issues, which the query language must deal with. Other aspects of concern are sensor data fusion but also association of multiple object observations. Demonstration of the dynamic aspects are generally difficult as scenarios in real-time cannot easily be set up, tested and run realistically. To overcome this problem the query language sigma query language (ΣQL) has been attached to a simulation framework. Together with this framework scenarios can be set up to form the basis for test and dynamic illustration of the query language. Eventually the query language can be used to support decision making as well. Within the simulation framework input data are coming from sensor models that eventually can be replaced by data from real sensors. Services can be integrated with the information system, used for various purposes and supported by the various capabilities of the query language. A consequence of this approach is that the information delivered by the services, including the query language, can be used as input to an operational picture that eventually can be used to demonstrate on-going dynamic processes. In this work, an extension to ΣQL, called VisualΣQL, will be discussed together with some other relevant services useful in dynamic situations as complements to the query language. Furthermore, the use of the system will be illustrated and discussed by means of a scenario that has been run in the simulation environment.
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