Ontology based method for supporting business process modeling decisions

Abstract

This work suggests a method for machine-assisted support of business process modeling decisions, based on business logic that is extracted from process repositories using a linguistic analysis of the relationships between constructs of process descriptors. The analysis enables the setup of a descriptor space, in which it is possible to analyze business rules and logic. The suggested method aims to assist process designers in modeling decision making, based on knowledge that is encapsulated within existing business process repositories. The method is demonstrated using a real-life process repository from the higher-education industry. © 2012 Springer-Verlag.