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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 integration and adaptation of data of different origin from topographic and navigation data sets. Introduction and overview The availability of spatial data sets, especially also over the internet via web services, allows the combination of data of different origin. However, geometric overlay of data often reveals semantic and geometric differences – even when the same or similar objects in reality are concerned. In order to be able to have an integrated analysis, the data sets have to be fused or homogenized. The fusion
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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