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A Rule-Based Approach to Automatic Service Composition

Author

Listed:
  • Maria J. Santofimia

    (University of Castilla-La Mancha, Spain)

  • Xavier del Toro

    (University of Castilla-La Mancha, Spain)

  • Felix J. Villanueva

    (University of Castilla-La Mancha, Spain)

  • Jesus Barba

    (University of Castilla-La Mancha, Spain)

  • Francisco Moya

    (University of Castilla-La Mancha, Spain)

  • Juan Carlos Lopez

    (University of Castilla-La Mancha, Spain)

Abstract

The incapability to foresee or react to all the events that take place in a specific environment supposes an important handicap for Ambient Intelligence systems, expected to be self-managed, proactive, and goal-driven. Endowing such systems with capabilities to understand and reason about context seems like a promising solution to overcome this hitch. Supported on the service-oriented paradigm, composing rather than combining services provides a reasonable mean to implement versatile systems. This paper describes how systems for Ambient Intelligence can be improved by combining automatic service composition and reasoning capabilities upon a distributed middleware framework.

Suggested Citation

  • Maria J. Santofimia & Xavier del Toro & Felix J. Villanueva & Jesus Barba & Francisco Moya & Juan Carlos Lopez, 2012. "A Rule-Based Approach to Automatic Service Composition," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 4(1), pages 16-28, January.
    • Handle: RePEc:igg:jaci00:v:4:y:2012:i:1:p:16-28
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