Combining DMN and the knowledge base paradigm for flexible decision enactment

Abstract

Representing business rules and the rules governing businesses is in itself a challenging task. Supporting the enactment of the represented rules poses even greater challenges. We present a novel approach to enact decisions represented using the Decision Model and Notation standard. The IDP knowledge base system is used as an inference engine for DMN decision models. The different forms of inference provided by the knowledge base system allow for flexible decision enactment. Our approach additionally allows for decision enactment by automatically generating an interactive graphical interface from the specification of the decisions.