Inference of Reactive Rules from Dependency Models

Reactive rules are rules that specify reactions to events. In some cases it is easier and more intuitive for users to define a dependency model representing an ontology. In this paper, we introduce the ADI model and its inference capabilities to run-time rule execution. We introduce a case study on eTrade and define the model building blocks exemplified by this case study. Then we show the specific rule language that is being used as the execution infrastructure. We explain the inference mechanism and its dynamic nature. The paper concludes with related work and a discussion about its utilization.