Semantic Approach to Smart Home Data Aggregation Multi-sensor Data Processing for Smart Environments

One salient feature of data produced by the IoT is its heterogeneity. Despite this heterogeneity, future IoT applications including Smart Home, Smart City, Smart Energy services, will require that all data be easily compared, correlated and merged, and that interpretation of this resulting aggregate into higher level context better matches people needs and requirements. In this paper we propose a framework based on semantic technologies for aggregating IoT data. Our approach has been assessed in the domain of the Smart Home with real data provided by Orange Homelive solution. We show that our approach enables simple reasoning mechanisms to be conducted on the aggregated data, so that contexts such as the presence, activities of people as well as abnormal situations requiring corrective actions, be inferred