Decentralized Reasoning in Ambient Intelligence

In Ambient Intelligence (AmI), reasoning is fundamental for identifying specific situations that may be meaningful and relevant to some applications. As in such systems usually not all context data is readily available to all reasoners within a system, these reasoning operations may need to evaluate context data collected from distributed sources and stored on different devices. This work proposes a middleware service for performing decentralized rule-based reasoning about context data targeting AmI systems in which we assume that there are two main interacting parties in the reasoning process, each having access to different context information.