On the use of AI Planning in the Composition of Context-Aware Services
In context aware ubiquitous systems an important challenge is the composition of multiple services to achieve the user task that cannot be achieved by a single service. With the important amount of available service in such environment, the use of traditional approaches become impractical. By introducing contextual information in the service composition the results of the composite service reacts continuously to context changes. In this paper, we present an overview of a semantic architecture for the discovery and composition of context aware services based on, we also present our context aware semantic service by extending OWL-S with context elements.
Keywords: Artificial Intelligence Planning, Context Awareness, Context Modeling, Service Composition, Semantic Web Services.
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ABOUT THE AUTHORS
Tarik Fissaa
IMS Team, ADMIR Laboratory, ENSIAS, Rabat IT Center, Mohammed V University in Rabat
Hatim Guermah
IMS Team, ADMIR Laboratory, ENSIAS, Rabat IT Center, Mohammed V University in Rabat
Mahmoud El Hamlaoui
IMS Team, ADMIR Laboratory, ENSIAS, Rabat IT Center, Mohammed V University in Rabat
Hatim Hafiddi
ISL Team, STRS Lab, INPT, Rabat, Morocco
Mahmoud Nassar
IMS Team, ADMIR Laboratory, ENSIAS, Rabat IT Center, Mohammed V University in Rabat
Tarik Fissaa
IMS Team, ADMIR Laboratory, ENSIAS, Rabat IT Center, Mohammed V University in Rabat
Hatim Guermah
IMS Team, ADMIR Laboratory, ENSIAS, Rabat IT Center, Mohammed V University in Rabat
Mahmoud El Hamlaoui
IMS Team, ADMIR Laboratory, ENSIAS, Rabat IT Center, Mohammed V University in Rabat
Hatim Hafiddi
ISL Team, STRS Lab, INPT, Rabat, Morocco
Mahmoud Nassar
IMS Team, ADMIR Laboratory, ENSIAS, Rabat IT Center, Mohammed V University in Rabat