Title :
A Survey of Context Classfication for Intelligent Systems Research for Ambient Intelligence
Author :
Ko, Hoon ; Ramos, Carlos
Author_Institution :
GECAD, Inst. of Eng. Polytech. of Porto, Porto, Portugal
Abstract :
ISyRAmI (Intelligent Systems Research for Ambient Intelligence) proposed by IST 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, 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.
Keywords :
artificial intelligence; data handling; knowledge acquisition; pattern classification; security of data; ubiquitous computing; ISyRAmI architecture; ambient intelligence systems; artificial intelligence oriented methodology; context classification; data conversion; data handling; data/information/knowledge acquisition; data/information/knowledge storage; decision support; intelligent actuation; intelligent reasoning; intelligent systems research; Ambient intelligence; Artificial intelligence; Competitive intelligence; Context awareness; Data security; Electronic mail; Information security; Intelligent systems; Pervasive computing; Software systems; Ambient Intelligence; Context-Aware; Framework; Security Modules; Ubiquitous Computing;
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2010 International Conference on
Conference_Location :
Krakow
Print_ISBN :
978-1-4244-5917-9
DOI :
10.1109/CISIS.2010.68
