A federated architecture for information management
ACM Transactions on Information Systems (TOIS)
DATAPLEX: an access to heterogeneous distributed databases
Communications of the ACM
Heterogeneous distributed database systems for production use
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Journal of Intelligent Information Systems - Special issue on next generation information technologies
Resource location in large scale heterogeneous and autonomous databases
Journal of Intelligent Information Systems - Special issue: networked information discovery and retrieval
Data Sharing in a Large Heterogeneous Environment
Proceedings of the Seventh International Conference on Data Engineering
A Scalable Architecture for Autonomous Heterogeneous Database Interactions
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
A Mechanism and Experimental System for Function-Based Sharing in Federated Databases
Proceedings of the IFIP WG 2.6 Database Semantics Conference on Interoperable Database Systems (DS-5)
Multibase: integrating heterogeneous distributed database systems
AFIPS '81 Proceedings of the May 4-7, 1981, national computer conference
Integration Of Structured And Unstructured Text Data In A Clinical Information System
Journal of Integrated Design & Process Science
Journal of Integrated Design & Process Science
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We describe an approach that supports distributed information discovery when interoperating with large number of autonomous hospital databases. The approach is presented through a case study based on the health care network. The idea is to perform complete execution of a query: data request, database location and data access, in a distributed way, avoiding the use of integrated schemas and centralised structures. The discovery process is limited to a group of databases that have either related data or knowledge about other databases that possibly holds the required data. The process is recursive, executed in parallel and avoids cycles. The approach permits dynamic evolution of the system and attempts to preserve the autonomy of the databases. A prototype has been developed for academic and research purposes. It demonstrates the feasiability of the approach as an alternative to interoperate with a large number of autonomous databases without using integrated schemas.