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Titlebook: Advances in Spatial Databases; 4th International Sy Max J. Egenhofer,John R. Herring Conference proceedings 1995 Springer-Verlag Berlin Hei

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楼主: fundoplication
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https://doi.org/10.1007/978-3-319-48881-3on are controlled through the concept of homotopy. Two alternative multiresolution models are proposed, which are implicitly defined by a sequence of map simplifications that fulfil both topological and metric consistency rules.
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Computer Vision – ECCV 2016 Workshopsning based inference language (GERBIL) is then presented to implement the relationships. An architecture is proposed, linking a computer graphic system for persistent entity storage with a knowledge based system shell for inferencing. A prototype system, Dafne, demonstrates proof of principle.
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Lossless representation of topological spatial data,s involving topological properties of the database only: two databases that are topologically equivalent have the same representation. Moreover, no information is lost in this way: two databases that are not topologically equivalent never have the same representation.
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Ranking in spatial databases,e algorithm is incremental in the sense that objects are reported one by one, so that a query processor can use the algorithm in a pipelined fashion for complex queries involving proximity. It is well suited for . nearest neighbor queries, and has the property that . needs not be fixed in advance.
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An inferencing language for automated spatial reasoning about graphic entities,ning based inference language (GERBIL) is then presented to implement the relationships. An architecture is proposed, linking a computer graphic system for persistent entity storage with a knowledge based system shell for inferencing. A prototype system, Dafne, demonstrates proof of principle.
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Uncovering Symmetries in Polynomial Systemsnear spatial queries in that even very simple queries such as deciding colinearity or computing convex hull of a finite set of points cannot be expressed. We show that this fundamental result has serious ramifications for the way in which query languages for linear spatial database models have to be designed.
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Nam Le,Alexander Heili,Jean-Marc Odobezof data, one per abstraction level, and (iii) its application to the computation of statistical summaries. The model has been partially implemented with the DBMS .. by means of tree-structured domains: we give some examples which illustrate the above features.
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2D projection interval relationships: A symbolic representation of spatial relationships,ied representation of spatial relationships, 2D Projection Interval Relationships (2D-PIR), that integrates both directional and topological relationships. We propose a graph representation for pictures that is based on 2D-PIR. This graph representation can be constructed efficiently and leads to an efficient algorithm for “picture matching”.
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