Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/10933| Title: | Intelligent access to multiple relational database systems |
| Authors: | Laboratory Discretionary Research Program (U.S.) Wright, Peggy. |
| Keywords: | Composite databases Co-relationship Distributed databases Federated databases Heterogeneous database systems Homogenous database systems Interconnectivity 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. |
| URI: | http://hdl.handle.net/11681/10933 |
| Appears in Collections: | Technical Report |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| TR-ITL-92-9.pdf | 24.45 MB | Adobe PDF |  View/Open |