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Proceedings Paper

A Data Analysis Expert System For Large Established Distributed Databases
Author(s): Anne-Marie Gnacek; Y.Kim An; J.Patrick Ryan
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Paper Abstract

The purpose of this work is to analyze the applicability of artificial intelligence techniques for developing a user-friendly, parallel interface to large isolated, incompatible NASA databases for the purpose of assisting the management decision process. To carry out this work, a survey was conducted to establish the data access requirements of several key NASA user groups. In addition, current NASA database access methods were evaluated. The results of this work are presented in the form of a design for a natural language database interface system, called the Deductively Augmented NASA Management Decision Support System (DANMDS). This design is feasible principally because of recently announced commercial hardware and software product developments which allow cross-vendor compatibility. The goal of the DANMDS system is commensurate with the central dilemma confronting most large companies and institutions in America, the retrieval of information from large, established, incompatible database systems. The DANMDS system implementation would represent a significant first step toward this problem's resolution.

Paper Details

Date Published: 11 May 1987
PDF: 6 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940611
Show Author Affiliations
Anne-Marie Gnacek, Nichols Research Corporation (United States)
Y.Kim An, Nichols Research Corporation (United States)
J.Patrick Ryan, University of Alabama (United States)

Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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