Authors: Flora Amato, Valentina Casola, Mariana Esposito, Nicola Mazzocca, Antonino Mazzeo
In modern decision support systems there is the need to improve the performance in terms of detection, reliability and real time capabilities. These features are usually in inverse proportion. In this paper we propose an innovative approach for a smart event detection and enriched phenomena comprehension. In particular, the proposed approach is based on a two steps process that tries to quickly identify an alarm and then elaborate the acquired knowledge base with a post reasoner to refine the final decision and give operators more feelings about the situation assessment and raised alarms.