Abstract
Context-aware systems in smart space environments must be aware of the context of their surroundings and adapt to changes in highly dynamic environments. Data management of contextual information is different from traditional approaches because the contextual information is dynamic, transient, and fallible in nature. Consequently, the capability to detect context inconsistency and maintain consistent contextual information are two key issues for context management. We propose an ontology-based model for representing, deducing, and managing consistent contextual information. In addition, we use ontology reasoning to detect and resolve context inconsistency problems, which will be described in a Smart Alarm Clock scenario.
This work was partially supported by grants from the National Science Council, Taiwan (NSC 96-2628-E-002-173-MY3), Excellent Research Projects of National Taiwan University (97R0062-06), and Intel Corporation.
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Jih, Wr., Hsu, J.Yj., Chang, HW. (2009). Agent-Based Context Consistency Management in Smart Space Environments. In: Kowalczyk, R., Vo, Q.B., Maamar, Z., Huhns, M. (eds) Service-Oriented Computing: Agents, Semantics, and Engineering. SOCASE 2009. Lecture Notes in Computer Science, vol 5907. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10739-9_4
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DOI: https://doi.org/10.1007/978-3-642-10739-9_4
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