Dynamic search-space pruning techniques in path sensitization
DAC '94 Proceedings of the 31st annual Design Automation Conference
In-context peer-to-peer information filtering on the Web
ACM SIGMOD Record
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
GAS ontology: an ontology for collaboration among ubiquitous computing devices
International Journal of Human-Computer Studies - Protégé: community is everything
An Ontology-Based Approach to Context Modeling and Reasoning in Pervasive Computing
PERCOMW '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Human-Computer Interaction
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Pervasive computing systems target at constantly adapting their behavior to meet the needs of users within every changing physical, social, computing and communication context. Pervasive computing makes ad-hoc connection among them and is connected to different types of sensors to capture changes in the environment. This paper proposes representation of context in a hierarchical form, storing of context data in an object relational database rather than an ordinary database and selecting the context using heuristic pruning method and loads only relevant context data into the reasoner. This influences the only limited amount of context data in the reasoning space which further improves the performance of the reasoning process.