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This paper describes the transformation process from spatio-temporal coordinates to location-based support. This transformation is described as a workflow starting with heterogeneous sensor sources, which provide spatio-temporal data. As a next step, data fusion operations provide a precise and accurate location. This location is subsequently enriched with context information. The main contribution is to establish a dynamic link between the spatio-temporal aspects of a smart industrial indoor environment and its descriptive semantic information model in order to enable location-based support of service technicians with mobile devices.
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