Bridging context management systems for different types of pervasive computing environments
Proceedings of the 1st international conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications
QACBAC: an owner-centric QoC-aware context-based access control model for pervasive environments
SPRINGL '08 Proceedings of the SIGSPATIAL ACM GIS 2008 International Workshop on Security and Privacy in GIS and LBS
Towards context information refinement for proximity mobile service using quality of context
Mobility '09 Proceedings of the 6th International Conference on Mobile Technology, Application & Systems
Journal of Ambient Intelligence and Smart Environments
Capturing context requirements
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
Trust management model and architecture for context-aware service platforms
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part II
UDS: sustaining quality of context using uninterruptible data supply system
QuaCon'09 Proceedings of the 1st international conference on Quality of context
Bringing quality of context into wearable human activity recognition systems
QuaCon'09 Proceedings of the 1st international conference on Quality of context
Adaptive context reasoning in pervasive systems
Proceedings of the 9th International Workshop on Adaptive and Reflective Middleware
Towards QoC-aware location-based services
Proceedings of the 11th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
Journal of Ambient Intelligence and Smart Environments
Data Management within mHealth Environments: Patient Sensors, Mobile Devices, and Databases
Journal of Data and Information Quality (JDIQ)
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Middleware support for pervasive context-aware systems relieves context-aware applications from dealing with the complexity of context-specific operations such as context acquisition, aggregation, reasoning and distribution. The middleware decouples applications from the underlying heterogeneous context sensors, and offers advantages such as rapid development of context-aware applications and efficient usage of the context sensors. Context sensors have inherent limitations with respect to the quality of the context information they produce. Without breaking the decoupling, the middleware needs to explicitly model and quantify this Quality of Context in order to allow application to adapt their behavior based on the Quality of Context, for efficiency reasons and to enable Quality-of-Context-aware privacy policies. In this paper we identify and define five Quality-of-Context indicators for context-aware middleware, and discuss different alternatives for their quantification. These Quality-of-Context indicators are: precision, freshness, spatial resolution, temporal resolution and probability of correctness.