A hierarchical systems knowledge representation framework

Author(s)
Sylvester, Igor Andrade
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Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Daniel Hastings.
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Abstract
We present the design and implementation of a framework for storing and analysing knowledge about engineering systems. The hierarchical entity-relation-attribute model is useful for large data sets, in which it can abstract details so that human users are able to reason about the data. The time-series extension to the model abstracts temporal details. Finally, the implementation of the model includes an execution engine that can simulate the model in one time-slice or as a function of time.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
 
Includes bibliographical references (p. 57-58).
 
Date issued
2007
URI
http://hdl.handle.net/1721.1/41675
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.
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