Fostering Exploration of Georeferenced Data Semantics for Supporting E-government Initiatives

Proper data retrievement is fundamental for decision making in e-governments initiatives. In this paper, the influence of the explicit declaration of the semantics of georeferenced data in the acceptance of a semantically-enriched data retriever for e-government is evaluated. The semantics of the georeferenced data were formalized and a prototype of data retriever was built. Our premise was that the explicit encoding of the semantics of data items and of the relationships among data views allows to generate dynamic reports from a generic data source. A case study was carried out for the analysis of human behavior in a learning process based on social media and the results confirmed us the positive impact of integrating the concept of tabular view with an interactive map component in order to facilitate data interpretation and the navigation among semantically annotated data views.