Spatial query processing in an object-oriented database system
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
Constraint satisfaction algorithms
Computational Intelligence
The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Communications of the ACM
Content-based retrieval using heuristic search
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Maintaining knowledge about temporal intervals
Communications of the ACM
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Picture Similarity Retrieval Using the 2D Projection Interval Representation
IEEE Transactions on Knowledge and Data Engineering
Algorithms for Querying by Spatial Structure
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
The R+-Tree: A Dynamic Index for Multi-Dimensional Objects
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
On the Forward Checking Algorithm
CP '95 Proceedings of the First International Conference on Principles and Practice of Constraint Programming
Dynamic Variable Ordering in CSPs
CP '95 Proceedings of the First International Conference on Principles and Practice of Constraint Programming
Progressive Content-Based Retrieval from Satellite Image Archives
Progressive Content-Based Retrieval from Satellite Image Archives
Cardinal directions between spatial objects: the pairwise-consistency problem
Information Sciences—Informatics and Computer Science: An International Journal
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The problem of spatial configuration information retrieval is a Constraint Satisfaction Problem (CSP), which can be solved using traditional CSP algorithms. But the spatial data can be reorganized using index techniques like R-tree and the spatial data are approximated by their Minimum Bounding Rectangles (MBRs), so the spatial configuration information retrieval is actually based on the MBRs and some special techniques can be studied. This paper studies the mapping relationships among the spatial relations for real spatial objects, the corresponding spatial relations for their MBRs and the corresponding spatial relations between the intermediate nodes and the MBRs in R-tree. Three algorithms are designed and studied, and their performances are compared.