A representation for local and global structures of an algebraical Bayesian network in java applications

A conjunct ideal with probabilistic estimates of its elements is considered as a knowledge pattern (KP) mathematical model. A set of KPs can be assembled in an algebraical Bayesian network (ABN). We analyze local and global structures of ABNs in order to represent KPs and ABNs as objectoriented data structures in software applications. Our primary scope is Java applications.