Systems that pass data to each other share commonly understood semantics. Explicit data semantics is the key to success in an EDA (and any other messaging system). In striving for loose coupling, data semantics is the ultimate level; when systems are decoupled at the semantic level - e.g. they don't share semantics - the coupling becomes useless, because in this case the systems will not be able to communicate at a logical level. Shared semantics is a prerequisite in connecting distinct systems, no matter whether it concerns EDA, SOA or any other form of EAI (Enterprise Application Integration). It should be obvious to anyone that analysis of data semantics will always be the first activity of any integration project.
