A Rule-Based Approach to Automatic Service Composition
Maria J. Santofimia,
Xavier del Toro,
Felix J. Villanueva,
Jesus Barba,
Francisco Moya and
Juan Carlos Lopez
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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
International Journal of Ambient Computing and Intelligence (IJACI), 2012, vol. 4, issue 1, 16-28
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.
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaci00:v:4:y:2012:i:1:p:16-28
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