Abstract
Computing and computing applications are merged into surroundings instead of having computers as discrete objects are the objective of pervasive computing. Applications must adjust their behavior to every changing surroundings. Adjustment involves proper capture, management and reasoning of context. 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. Semantic of the context is managed by Ontology and context data is handled by Object relational database. These two modeling elements are associated to each other by semantics relations build in the ontology. The separation of modeling elements 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.
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Vanathi, B., Uthariaraj, V.R. (2011). Collaborative Context Management and Selection in Context Aware Computing. In: Meghanathan, N., Kaushik, B.K., Nagamalai, D. (eds) Advanced Computing. CCSIT 2011. Communications in Computer and Information Science, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17881-8_33
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DOI: https://doi.org/10.1007/978-3-642-17881-8_33
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