ES 3 N : A Semantic Approach to Data Management in Sensor Networks

In this paper, we present a Data Management Tool called ES3N, which uses Semantic Web techniques to manage and query data collected from a minidome Sensor Network. Our tool supports complex queries on both continuous and archival data, by capturing important associations among data, collected and stored in a distributed dynamic ontology. The motivation behind our work stems from a desire to increase awareness of the advantages of Semantic Web techniques across the Sensor Networks spectrum and to highlight the inefficiencies in existing Data Management techniques in Sensor Networks for silos and mini-domes. We stress the advantages of semantics in this case study, and present a discussion that extrapolates the possible benefits Semantic Web techniques can bring to Sensor Networks in general.