Birgit Kieler

  • Citations Per Year
Learn More
In recent times the amount of spatial data being collected by voluntary users, e.g. as part of the OpenStreetMap project, is rapidly increasing. Due to the fact, that everyone can participate in this social collaboration, the completeness and accuracy of the data is very heterogeneous. Although a object catalogue exists as part of the OSM project, users are(More)
In order to ease the propagation of updates between geographic datasets of different scales and to support multi-scale analyses, different datasets need to be matched, that is, objects that represent the same entity in the physical world need to be identified. We propose a method for matching datasets of river systems that were acquired at different scales.(More)
The paper tackles the problem of data integration. It presents first results of an approach for the instance-based semantic integration. Subsequently, the geometric integration is presented using a method for homogenization that allows for a partial integration taking different geometric deviations into account. Results are shown with the example of the(More)
In this paper we present an approach realizing the integration of data sets of different origin and with different resolution levels. The underlying idea is to reveal semantic correspondences between object classes of different geo-ontologies only by analysis of spatial and geometrical characteristics of instances of the data sets. As a result we derive(More)
The goal of the research described in this paper is to derive parameters necessary for the automatic generalization of land-cover maps. A digital land-cover map is often given as a partition of the plane into areas of different classes. Generalizing such maps is usually done by aggregating small areas into larger regions. This can be modeled using cost(More)
This study reports the findings of a case study of the health services planning council established in the Oakland, California, eligible metropolitan area (the Oakland EMA) under Title I of the Ryan White Comprehensive AIDS Resources Emergency Act of 1990 (the CARE Act). We gathered primary data through observation of planning council meetings, examination(More)
For beneficial data integration, semantic correspondences of geodata of different origin which are mostly unknown, must be determined. This is a prerequisite to a growing interoperability of data and services in Spatial Data Infrastructures (SDI). The approach presented here starts with the assumption that geometric similarity and spatial correspondence are(More)
  • 1