Abstract
Geospatial data integration technology involves fusing equivalent objects from multiple datasets. Due to different acquisition methods of geospatial data, new problem cases arise in data integration systems and thus the complexity of the integration approach increases. There are many data homogenization methods, which determine the assignment of objects via semantic similarity. The algorithms for polygonal geospatial data integration, presented in this paper, are based on geometrical comparison between two datasets. The objective of these algorithms is the assignment of geospatial elements representing the same object in heterogeneous datasets. Depending on semantic information in geospatial data the polygonal shapes have different spatial extent. For this reason two kinds of polygonal geospatial data were analyzed. The methods are discussed and first results are presented.
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Stankute, S., Asche, H. (2010). Geometrical DCC-Algorithm for Merging Polygonal Geospatial Data. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2010. ICCSA 2010. Lecture Notes in Computer Science, vol 6016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12156-2_39
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DOI: https://doi.org/10.1007/978-3-642-12156-2_39
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