Monitoring Electromagnetic Pollution: a Linked-data-oriented Perspective

This paper describes how to publish data coming from scattered and heterogeneous Electromagnetic (EM) field sensing systems in compliance with novel knowledge management techniques. Ontological modeling and Linked Data Principles have been exploited to interlink and organize, from a semantic point of view, measurement data with additional information describing sensors, measurement sites and techniques, emitting sources and devices, etc. From the very first achieved results, the proposed approach exhibits many appealing features. For instance, the possibility to seamlessly access different legacy data sources or to create semantic relationships across related scientific areas. Therefore, traditional data publication techniques for EM pollution monitoring campaigns can now be thought-back and broadened by adding new features to reach more variegated categories of users rather than only technicians or managing authorities.