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Virtual 3D city models provide important information for different aspects of disaster management. In this context, up-to-dateness of and flexible access to 3D city models are of utmost importance. Spatial Data In-frastructures (SDI) provide the appropriate framework to cover both aspects , integrating distributed data sources on demand. In this paper we(More)
A multitude of new applications is quickly emerging in the field of Building Information Models (BIM). BIM models describe buildings with respect to their spatial and especially semantic and thematic characteristics. Since BIM models are manually created during the planning and construction phase, they are only available for newly planned or recently(More)
An increasing number of municipalities decide nowadays to build up 3D city models. Often the main purpose of such a model is to support urban planning processes. However, in most cases this support currently is restricted to the visualization of virtual scenes. The first reason is that there are still no commercial 3D geoinformation systems available. Thus,(More)
An increasing number of applications rely on 3D geoinformation. In addition to 3D geometry, these applications particularly require complex semantic information. In the context of spatial data infrastructures the needed data are drawn from distributed sources and often are thematically and spatially fragmented. Straight forward joining of 3D objects would(More)
3D visualizations of spatial objects are employed in an increasing number of applications from the areas of (urban) planning, city marketing, tourism, and facility management. Further application fields could be entered, if distributed spatial objects could be integrated on the fly into one 3d scene. We argue, that this integration can only be successful(More)
Existing model persistence frameworks either store models as a whole or object by object. Since most modeling tasks work with larger aggregates of a model, existing persistence frameworks either load too many objects or access many objects individually. We propose to persist a model broken into larger fragments. First, we assess the size of large models(More)
Within the scope of processing large amounts of data and complex calculations the use of grid computing is a good choice for achieving high performance, because processing of extensive spatial data can be very computationally intensive. At the moment there exist spatial data infrastructures (SDI) as framework with the use of web services, which are(More)