Generating Bridge Structure Model Details by Fusing GIS Source Data Using Semantic Web Technology

Abstract

Many parameter values needed for creating high fidelity 3D models of components above and below the terrain of a region may not be explicitly present in the GIS source data gathered for that region, but may be implicit in the combined knowledge in these multiple types of data sets. Hence considerable effort from GIS experts is often involved in the creation of high fidelity 3D models. In this paper, we propose a Data Extractors framework which fuses data from shape file, elevation, and imagery datasets and automatically derives specific parameter values needed for creating 3D models in the region of interest. The goal is to produce a virtual area in more detail with lower turnaround time than the state of the art in geospecific region modeling. We demonstrate the application of our framework for creating detailed models of bridge structures using data typically available from GIS datasets.