| Integration of spatial join algorithms for processing multiple inputs |
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International Conference on Management of Data
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Proceedings of the 1999 ACM SIGMOD international conference on Management of data
table of contents
Philadelphia, Pennsylvania, United States
Pages: 1 - 12
Year of Publication: 1999
ISBN:1-58113-084-8
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Authors
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Nikos Mamoulis
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Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
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Dimitris Papadias
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Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
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Downloads (6 Weeks): 5, Downloads (12 Months): 39, Citation Count: 16
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ABSTRACT
Several techniques that compute the join between two spatial datasets have been proposed during the last decade. Among these methods, some consider existing indices for the joined inputs, while others treat datasets with no index, providing solutions for the case where at least one input comes as an intermediate result of another database operator. In this paper we analyze previous work on spatial joins and propose a novel algorithm, called slot index spatial join (SISJ), that efficiently computes the spatial join between two inputs, only one of which is indexed by an R-tree. Going one step further, we show how SISJ and other spatial join algorithms can be implemented as operators in a database environment that joins more than two spatial datasets. We study the differences between relational and spatial multiway joins, and propose a dynamic programming algorithm that optimizes the execution of complex spatial queries.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 16
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Dimitris Papadias , Nikos Mamoulis , Yannis Theodoridis, Processing and optimization of multiway spatial joins using R-trees, Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, p.44-55, May 31-June 03, 1999, Philadelphia, Pennsylvania, United States
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