Context-Aware Inference (CAI) Model on Smart Computing Environment

With the proliferation of smart computing equipment, the range of providing highly intelligent services is widely expanding in an attempt to include the present condition of each individual data source. Furthermore, broadly adopted RFID (Radio Frequency Identification) technology has led to the widespread application of automatic identification in numerous pervasive computing services including logistics, emergency control, and medical services. Another remarkable phenomenon is the explosively growing number of smartphone users, which allows them to stay connected to the Internet. The environment created by these factors, increases the need to make a decision out of the current context which can be inferred from various sensors and mobile devices. In response to the growing demand for the need to make a decision in the current context, the new XOnt Agent has been integrated into our collaboration middleware framework, the XCREAM (XLogic Collaborative RFID/USN-Enabled Adaptive Middleware). All the collected information should be examined too see if they meet any condition that triggers correspondent actions of a specific rule through reasoning process of a rule engine. We also suggest the context-aware inference (CAI) model to effectively support the reasoning and handling processes.