The Evolving Role of Constraints in the Functional Data Model
Journal of Intelligent Information Systems - Special issue on functional approach to intelligent information systems
Functional Query Optimization over Object-Oriented Views for Data Integration
Journal of Intelligent Information Systems - Special issue on functional approach to intelligent information systems
Improving Federated Database Queries Using Declarative Rewrite Rules for Quantified Subqueries
Journal of Intelligent Information Systems
Checking Integrity Constraints in Multidatabase Systems with Nested Transactions
CooplS '01 Proceedings of the 9th International Conference on Cooperative Information Systems
Management of business process constraints using BPTrigger
Computers in Industry
A Java API for global querying and updates for a system of databases
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Optimal constraint decomposition for distributed databases
ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
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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.