Semantic annotation on Event Pattern Languages for Complex Event Processing in ubiquitous logistics

This work aims at driving Complex Event Processing (CEP) by means of context in ubiquitous logistics environment. CEP is a tool that allows the processing of events by relating them using patterns. Context, on the other hand, is relevant information about the situation of a particular entity in a specific moment. In ubiquitous logistics environments, the context has as inputs physical events generated by sensors. Our approach consists in a framework that allows the generation of appropriate statements to be executed on a CEP engine. The appropriateness here means two things: first, that the statements to detect events patterns in a process activity are generated when necessary; and second, that the expressions in the CEP statements have values in accordance to the situation on course.