Stream-based Reasoning for IoT Applications on Domain Education

Abstract

As the complexity of distributed Internet of Things (IoT) applications increases, so does the need for better processing of raw data flow of sensors. And since many IoT applications require almost real-time reactivity to the environmental stimulus, such information inference process must be performed continuously and on-line. This paper proposes a semantic model of data flow processing and real-time reasoning based on Semantic Stream concepts as a natural extension of the Complex Events Processing (CEP) and RDF (graph-based knowledge model). In this paper, we describe a scenario about patients flux monitoring in a clinic dental school. Finally, we will present perspectives and prospects on the new way of storage the Semantics Stream and finish the development of the Semantic Event Rules using ESPER EPL (Event Processing Language).