The EGG/YOLK reliability hierarchy: semantic data integration using sorts with prototypes
CIKM '94 Proceedings of the third international conference on Information and knowledge management
User interface evaluation of a direct manipulation temporal visual query language
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Maintaining knowledge about temporal intervals
Communications of the ACM
Query languages for multimedia search
Principles of visual information retrieval
A spatial model for complex objects with a broad boundary supporting queries on uncertain data
Data & Knowledge Engineering
Visualizing queries on databases of temporal histories: new metaphors and their evaluation
Data & Knowledge Engineering - Special issue: Temporal representation and reasoning
Metaphors for Visual Querying Spatio-Temporal Databases
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Multi-sensor Information Fusion by Query Refinement
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
A visual query language for uncertain spatial and temporal data
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
Querying distributed multimedia databases and data sources for sensor data fusion
IEEE Transactions on Multimedia
The endpoint hypothesis: a topological-cognitive assessment of geographic scale movement patterns
COSIT'09 Proceedings of the 9th international conference on Spatial information theory
Assessing similarities of qualitative spatio-temporal relations
SC'12 Proceedings of the 2012 international conference on Spatial Cognition VIII
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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 (@SQL) 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 @SQL, called Visual@SQL, 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.