Titlebook: Advances in Spatial Databases; 5th International Sy Michel Scholl,Agnès Voisard Conference proceedings 1997 Springer-Verlag Berlin Heidelbe

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Camille Couprie,Pauline Luc,Jakob Verbeekf hierarchical routing algorithms. Our experiments with the Twin Cities metropolitan road-map show that materializing the shortest-path-cost view for the boundary graph provides the best savings in computation time, for a given amount of storage and a small number of fragments. Materializing the rel

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Prateep Bhattacharjee,Sukhendu Dase represented (for example, the distance between two objects cannot be computed). Finally, no update language for spatial constraint databases has been defined yet. The aim of this paper is to overcome some of the previous limitations. In particular, we extend the model and the algebra to directly d

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Computer Vision – ECCV 2018 Workshopsperiment management, incorporating many characteristics of workflow management systems as well as a simple but expressive process modeling language, exception handling, and data and metadata indexing and querying capabilities.

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Spatial internet marketplaces: A grand challenge?,f very high potential value which require greater access to data and data manipulation tools than can currently be provided. This paper considers extension of the electronic market concept to Spatial Internet Marketplaces. A Spatial Internet Marketplace consists of a large number of providers offeri

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3D Similarity search by shape approximation,ging, or CAD. We propose a similarity criterion and algorithm for 3D surface segments which is based on the approximation of segments by using multi-parametric functions. The method can be adjusted to individual requirements of specific applications by choosing appropriate surface functions as appro

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Finding boundary shape matching relationships in spatial data,atial data, whereby many objects called . (represented as polygons) are compared with one or more point sets called .. The research described has practical application in such domains as Geographic Information Systems, in which a cluster of points (possibly created by an SQL query) is compared to ma

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Spatial data mining: A database approach,wing. This paper introduces a set of basic operations which should be supported by a spatial database system (SDBS) to express algorithms for KDD in SDBS. For this purpose, we introduce the concepts of neighborhood graphs and paths and a small set of operations for their manipulation. We argue that