| dc.contributor.advisor | Daniel Hastings. | en_US |
| dc.contributor.author | Sylvester, Igor Andrade | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2008-05-19T16:07:44Z | |
| dc.date.available | 2008-05-19T16:07:44Z | |
| dc.date.copyright | 2007 | en_US |
| dc.date.issued | 2007 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/41675 | |
| dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. | en_US |
| dc.description | Includes bibliographical references (p. 57-58). | en_US |
| dc.description.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. | en_US |
| dc.description.statementofresponsibility | by Igor Andrade Sylvester. | en_US |
| dc.format.extent | 58 p. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | 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. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | A hierarchical systems knowledge representation framework | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M.Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 220942710 | en_US |
