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Typically, a context-aware system is able to collect vast amounts of information coming from data collected by sensors. The problem that occurs lies mainly in how this information can be integrated and used at a semantic level, without a significant reduction in system performance. In the scope of this talk, we analyse a middleware-based pilot system, in order to study problems that concern context-aware systems that incorporate and exploit semantic information in real time. We analyze the data flow in the system and, more specifically, we present how with the use of a middleware, rules, and web services, (experimental) data can flow into the system and form a semantic Knowledge Base, able to answer semantic queries. Particular reference is made to the real-time processing of the results but also to the synchronous and asynchronous procedures that can take place in order to assure system operation and scalability.