Bayesian networks are indispensable for determining the probability of events which are influenced by various components. Bayesian probabilities encode degrees of belief about ce...
— This paper explores a process-oriented approach to complex systems design, using massive fine-grained concurrency, mobile channels and mobile processes. The complex systems st...
Abstract. One of the fundamental and seemingly simple aims of mathematical knowledge management (MKM) is to develop and standardize formats that allow to “represent the meaning o...
In this chapter we will introduce description logics, a family of logic-based knowledge representation languages that can be used to represent the terminological knowledge of an a...
Enriching business process models with semantic annotations taken from an ontology has become a crucial necessity both in service provisioning, integration and composition, and in ...
Chiara Di Francescomarino, Chiara Ghidini, Marco R...