Utilizing dynamic context semantics in smart behavior of informing cyber‐physical systems

Context is interpreted as a body of information dynamically created by a pattern of entities and relationships over a history of situations. Computational handling of dynamically changing contexts and the consideration of rapidly changing situations in awareness building, situated reasoning, and proactive adaptation of smart cyberphysical systems has been recognized as an important research phenomenon. The main reason is that there are many real-life processes whose smart control and self-* behavior require quasi-real time processing of context information. Though processing time-varied context information has been addressed in the literature, domain-independent solutions for reasoning about time-varying complex and critical activity scenarios are scarce. Thus, explicit generation and utilization of dynamic context semantics in smart behavior of informing cyber-physical systems (I-CPSs) is a frontier endeavor.