Data Integration in Distributed Databases
IEEE Transactions on Software Engineering
Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Research issues in spatial databases
ACM SIGMOD Record - Directions for future database research & development
Algorithms for Graphics and Imag
Algorithms for Graphics and Imag
A Topological Data Model for Spatial Databases
SSD '89 Proceedings of the First Symposium on Design and Implementation of Large Spatial Databases
SSD '91 Proceedings of the Second International Symposium on Advances in Spatial Databases
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
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This paper considers the special problems of semantic heterogeneity in a distributed system of databases containing spatially referenced information. Two forms of semantic heterogeneity are defined. Generic semantic heterogeneity arises when nodes are using different generic conceptual models of the spatial information. Contextual semantic heterogeneity is caused by the particular local environmental conditions at nodes. It is contextual heterogeneity which is especially the consideration with geographic databases and to which the paper devotes most attention. Two possible solutions are proposed, one founded on transforming processors between models and a second using a canonical model which is a generalization of existing generic spatial models.