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Ontology-based data management tool for studying radon concentration

Abstract:

Interpreting data for solving information needs demands an understanding of the semantics of row data. In this paper, an ontology-driven management of data of the presence of radon gas in soil is presented. The main contribution of this research relies on the formal definition of the semantic of the presence of radon in the dimensions of space and time. As a result, a dynamic data view generator for the observation of radon measurements was deployed without actual software programming but with the proper adjustment and instantiation of the ontology ViewOnto, a web ontology which was created for the formal description of data views. An experimental assessment of the proposal was carried out with data obtained from stone aggregate mines and civil constructions in Tungurahua. The usability of the resulting data management system was successfully validated with the criteria of experts on usability and researchers with experience in radon measurement.