A Linked Data Approach to Electromagnetic Pollution Monitoring

This paper describes how novel knowledge modeling and management techniques borrowed from the Semantic Web were exploited to publish data coming from Electromagnetic (EM) pollution monitoring to the Linked Data Cloud. The paper shows how, starting from requirements coming from the EM use case, the procedure of data publishing was carried out, with the support of public tools, shared standards and established methodologies. A synthetic comparison between available tools is provided, a knowledge model integrating proprietary and public ontologies and vocabularies described, and a practical use case narrated. In this way, starting from a concrete use case, a panoramic on Linked Data capabilities and on state-of-art procedures, tools and standards is provided.