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Title : HIERARCHICAL QUALITY INSPECTION OF SPATIAL DATA BY DATA INTEGRATION
Company : Universitaet Stuttgart
File Name : Chen.pdf
Size : 333760
Type : application/pdf
Date : 26-May-2010
Downloads : 7

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Featured Paper by

Hainan Chen and Walter Volker

In this paper we introduce an approach for quality inspection based on map matching and data integration. Two datasets are the input for the process. At first, the edges of the datasets are matched manually. Then, the form of each matching pair is determined and corresponding nodes are matched. In the final step, quality measurements on different levels of granularity are calculated. On the dataset level, a global geometric quality measure based on the evaluation of adjacency matrices is proposed. Furthermore, completeness and topologic similarity are measured. On the matching pair level, geometric modeling, geometric similarity and attribute similarity are analyzed.
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