Selection, ranking and composition of semantically enriched business processes

In Service Oriented Architectures a Business Process can be composed of several subprocesses, often exposed as platform-independent and autonomously implemented Web services. In this paper, we propose a methodological framework to support the selection, ranking and composition of semantically annotated subprocesses coming from distinct Business Process Repositories according to advanced semantics-enabled techniques.