Pattern-oriented software architecture: a system of patterns
Pattern-oriented software architecture: a system of patterns
Wireless Sensor Network Based System for Fire Endangered Areas
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
A Two-Layered Deployment Scheme for Wireless Sensor Network based Location Tracking
ITNG '08 Proceedings of the Fifth International Conference on Information Technology: New Generations
Rapid Prototyping of Activity Recognition Applications
IEEE Pervasive Computing
Large-Scale Industrial Positioning and Location Tracking Are We There Yet?
ICMB '08 Proceedings of the 2008 7th International Conference on Mobile Business
An enhanced ontology based context model and fusion mechanism
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Making workflows situation aware: an ontology-driven framework for dynamic spatial systems
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
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Current research on context information focuses on the use of new kinds of sensors and on the aggregation and interpretation of sensor data. Having a closer look at applications supporting emergency scenarios with context information several problems arise. Emergency activities are complex coordination tasks which involve a multitude of different roles and resources. The definition of emergency scenarios and the mapping of relevant context information is a time-consuming and error-prone task. This work discusses how a model-based approach can support the definition of emergency scenarios at an abstract level. The abstract representation (PIM, Platform Independent Model) of an activity is then transformed into a platform-specific model (PSM), which includes a collection of context sensors. We show that the use of a model-based approach simplifies the definition of complex context-sensitive applications, and how this increases the flexibility to use different sensor platforms in different emergency scenarios.