A Rule-Based Approach to Automatic Service Composition

  • Authors:
  • Felix J. Villanueva;Francisco Moya;Jesus Barba;Juan Carlos Lopez;Maria J. Santofimia;Xavier del Toro

  • Affiliations:
  • University of Castilla-La Mancha, Spain;University of Castilla-La Mancha, Spain;University of Castilla-La Mancha, Spain;University of Castilla-La Mancha, Spain;University of Castilla-La Mancha, Spain;University of Castilla-La Mancha, Spain

  • Venue:
  • International Journal of Ambient Computing and Intelligence
  • Year:
  • 2012

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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.