A Survey of Context Classfication for Intelligent Systems Research for Ambient Intelligence

ISyRAmI (Intelligent Systems Research for Ambient Intelligence) proposed by IST [1] is an Artificial Intelligence oriented methodology and architecture for the development of Ambient Intelligence (AmI) systems. The ISyRAmI architecture considers the following four modules: Data/Information/Knowledge acquisition; Data/Information/Knowledge storage, conversion, and handling; Intelligent Reasoning; and Decision Support/Intelligent Actuation. Also, Dr. Hoon Ko had presented about ISyRAmI SF, which was involved security model to ISyRAmI in ICWMC2009 [2], ISyRAmI is consists of four modules, that is context allocator, context analyzer, context collector and context detector. Because there are various and many contexts in Ambient Intelligence Environment, contexts are needed to classify according to a characteristic and a purpose. Therefore, we studied contexts classification that will be generated from ISyRAmI.

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