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13th International Conference on Data Engineering (ICDE'97)
Distributing semantic constraints between heterogeneous databases
University of Birmingham, Birmingham, U.K.
April 07-April 11
ISBN: 0-8186-7807-0
S. Grufman, Dept. of Comput. & Inf. Sci., Linkoping Univ., Sweden
F. Samson, Dept. of Comput. & Inf. Sci., Linkoping Univ., Sweden
M. Embury, Dept. of Comput. & Inf. Sci., Linkoping Univ., Sweden
P.M.D. Gray, Dept. of Comput. & Inf. Sci., Linkoping Univ., Sweden
T. Risch, Dept. of Comput. & Inf. Sci., Linkoping Univ., Sweden
In recent years, research on distributing databases over networks has become increasingly important. In this paper, we concentrate on the issues of the interoperability of heterogeneous DBMSs and enforcing integrity across a multi-database made in this fashion. This has been done through a cooperative project between Aberdeen and Linko/spl uml/ping universities, with database modules distributed between the sites. In the process, we have shown the advantage of using DBMSs based on variants of the functional data model (FDM), which has made it remarkably straightforward to interoperate queries and schema definitions. Further, we have used the constraint transformation facilities of P/FDM (Prolog implementation of FDM) to compile global constraints into active rules installed locally on one or more AMOS (Active Mediators Object System) servers. We present the theory behind this, and the conditions for it to improve performance.
Index Terms:
distributed databases; distributed semantic constraints; heterogeneous databases; interoperability; integrity enforcement; multi-database; distributed database modules; functional data model; queries; schema definitions; constraint transformation facilities; P/FDM; global constraints compilation; active rules; AMOS servers; Active Mediators Object System; performance improvement; networks
Citation:
S. Grufman, F. Samson, M. Embury, P.M.D. Gray, T. Risch, "Distributing semantic constraints between heterogeneous databases," icde, pp.33, 13th International Conference on Data Engineering (ICDE'97), 1997
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