CAMPS: A Middleware for Providing Context-Aware Services for Smart Space

  • Weijun Qin
  • Yue Suo
  • Yuanchun Shi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3947)


Context-awareness enhances intelligent behaviors in pervasive computing environments, although it is still a great challenge to enable context-awareness due to lack of effective infrastructure to support context-aware applications. In this paper, we present an agent-based middleware called CAMPS for providing context-aware services for Smart Space in order to afford effective supports for context acquisition, representation, interpretation, and utilization to applications. In CAMPS, a formal context model, which combines First Order Probabilistic Logic with OWL ontologies, has been investigated to facilitate context modeling and reasoning about imperfect and ambiguous contextual information and to enable context knowledge sharing and reuse. A context inference mechanism based on an extended Bayesian Network approach has been studied to enable automated reactive and deductive reasoning. In addition, we implement a prototype and study on our experience in smart classroom application.


Bayesian Network Pervasive Computing Context Data Context Knowledge Smart Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Weijun Qin
    • 1
  • Yue Suo
    • 1
  • Yuanchun Shi
    • 1
  1. 1.Key Laboratory of Pervasive Computing, Ministry of Education, Department of Computer Science and TechnologyTsinghua UniversityBeijingChina

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