Agent-Based Context Consistency Management in Smart Space Environments

  • Authors:
  • Wan-Rong Jih;Jane Yung-Jen Hsu;Han-Wen Chang

  • Affiliations:
  • Department of Computer Science and Information Engineering, National Taiwan University,;Department of Computer Science and Information Engineering, National Taiwan University,;Department of Computer Science and Information Engineering, National Taiwan University,

  • Venue:
  • SOCASE '09 Proceedings of the AAMAS 2009 International Workshop on Service-Oriented Computing: Agents, Semantics, and Engineering
  • Year:
  • 2009

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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.