Web-GIS zur semiautomatischen Datenerfassung von semantischen Gebäudeinformationen im Kontext des Urban Mining

For an efficient recovery and reuse of resources of the building stock, as described in urban mining, information about prospective quantities and qualities of resources is essential. For current stock projections with the so-called bottom-up-method, especially information about building types and building ages has to be known. Currently there is a lack of continuous datasets regarding detailed building information. Different individual datasets are providing parts of this information or facilitate easy interpretation of it. Because of the current heterogeneity, automatic data aggregation is not possible. Therefore, in this approach a WebGIS for the semiautomatic data capture of the mentioned building information is developed. It has the potential to provide significantly more precise results than other approaches and can make a valuable contribution to information needed to establish urban mining. The paper outlines the fundamental question of semantic building information for a wide area as exemplified in urban mining and describes the application in detail.