In this paper, we discuss a new architecture for integrating and executing business process models with rules. It is based on a workflow engine that runs a BPMN-based business process model. On the lower level, rules are used to express the specific parts of the business logic. Rules working in the same context are grouped into a single task in the process model. Such a rule task is modeled by a formally defined decision table, which is designed in a visual way and its quality can be formally verified. In the runtime environment, tables are executed by a dedicated rule inference engine controlled by a workflow engine. © 2013 Springer-Verlag.
CITATION STYLE
Nalepa, G. J., Kluza, K., & Kaczor, K. (2013). Proposal of an inference engine architecture for business rules and processes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7895 LNAI, pp. 453–464). https://doi.org/10.1007/978-3-642-38610-7_42
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