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Knowledge management in the enhanced traffic management system

Author(s)
Rodarte, Christopher Gabriel, 1975-
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Advisor
Amar Gupta.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
The Enhanced Traffic Management System (ETMS) functions as the primary Database Management System (DBMS) for real-time flight information administered by the Federal Aviation Administration. The ETMS is a mission critical system responsible for facilitating air traffic control throughout the United States. The design of the ETMS represents a pinnacle achievement of modern data management. This thesis project will investigate the development of the ETMS and will identify several recent design decisions that illustrate a paradigm shift in data management techniques. These design decisions portray the initial implementation of a Knowledge-Base Management System (KBMS) wherein the system architecture shifts focus from data management toward knowledge management. DBMS and KBMS technologies will be introduced and compared. Specific implementations of each technology will be discussed and identified in the Enhanced Traffic Management System. Suggestions for further improvements in the ETMS design architecture will be entertained and several alternative design scenarios will be introduced.
Description
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
 
Includes bibliographical references (leaves 91-94).
 
Date issued
1998
URI
http://hdl.handle.net/1721.1/9659
Department
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science

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  • Electrical Engineering and Computer Sciences - Master's degree
  • Electrical Engineering and Computer Sciences - Master's degree

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