Big-data: transformation from heterogeneous data to semantically-enriched simplified data
Urban street areas are highly populated with buildings and its related information. Therefore, a suitable data representation scheme is essential to provide urban navigators with useful and relevant data semantics for better understanding of the surrounding space. The aim of this paper is to propose a design methodology of a spatial semantic database which is semantically enriched for providing information at different level of detail (LOD) using a hierarchical data structure. Preliminary tests of the proposed semantic DB schema and its data structure design applied on a set of real street building data and its evaluations reveal the feasibility of our approach to be extended to large scale mobile applications.