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Title: Intelligent access to multiple relational database systems
Authors: Laboratory Discretionary Research Program (U.S.)
Wright, Peggy.
Keywords: Composite databases
Distributed databases
Federated databases
Heterogeneous database systems
Homogenous database systems
Multidatabase systems
Relational database management systems
Publisher: Information Technology Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Technical report (U.S. Army Engineer Waterways Experiment Station) ; ITL-92-9.
Description: Technical Report
Abstract: The combination of artificial intelligence (AI) and database technology allows the capability of extending the usefulness of existing database applications. More specifically, the use of AI provides the means to develop an intelligent front end to allow nonintrusive assess to multiple relational databases. A knowledge source is built for each participating database application. A meta-knowledge source, constructed from all knowledge sources in the system, is consulted to determine the appropriate application to which a database request is channeled. This report introduces a proposed architecture and presents a prototype developed to accomplish this task. NOTE: This file is large. Allow your browser several minute to download the file.
Rights: Approved for public release; distribution is unlimited.
Appears in Collections:Technical Report

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