Using naturally occurring texts as a knowledge acquisition resource for knowledge base design: developing a knowledge base taxonomy on microprocessors

<p>Many artificial intelligence applications suffer severely from a bottleneck in acquiring domain information necessary to go beyond toy hand-built demonstrations to realistic applications. This project examines one approach to reducing that bottleneck by using automated and semi-automated te...

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Bibliographic Details
Main Author:	Emero, Michael F.
Other Authors:	Computer Science
Format:	Dissertation
Published:	Virginia Tech 2014
Subjects:	Knowledge acquisition (Expert systems) LD5655.V851 1992.E647
Online Access:	http://hdl.handle.net/10919/41162 http://scholar.lib.vt.edu/theses/available/etd-02162010-020204/

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spelling	ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-411622020-06-13T15:33:07Z Using naturally occurring texts as a knowledge acquisition resource for knowledge base design: developing a knowledge base taxonomy on microprocessors Emero, Michael F. Computer Science Nutter, Jane Terry Fox, Edward Alan Hix, Deborah S. Knowledge acquisition (Expert systems) LD5655.V851 1992.E647 <p>Many artificial intelligence applications suffer severely from a bottleneck in acquiring domain information necessary to go beyond toy hand-built demonstrations to realistic applications. This project examines one approach to reducing that bottleneck by using automated and semi-automated techniques to analyze published domain-relevant material. A taxonomy of terms related to computers with an emphasis on microprocessors is developed and presented. The methods used are experimental and not yet fully validated, but are potentially of great use for extracting useful domain information from published material. Preliminary validation by comparison with a published taxonomy shows that these methods have produced a taxonomy which is better suited for the immediate use of this taxonomy.</p> Master of Science 2014-03-14T21:29:49Z 2014-03-14T21:29:49Z 1992-08-05 2010-02-16 2010-02-16 2010-02-16 Master's project etd-02162010-020204 http://hdl.handle.net/10919/41162 http://scholar.lib.vt.edu/theses/available/etd-02162010-020204/ LD5655.V851_1992.E647.pdf BTD application/pdf Virginia Tech
collection	NDLTD
format	Dissertation
sources	NDLTD
topic	Knowledge acquisition (Expert systems) LD5655.V851 1992.E647
spellingShingle	Knowledge acquisition (Expert systems) LD5655.V851 1992.E647 Emero, Michael F. Using naturally occurring texts as a knowledge acquisition resource for knowledge base design: developing a knowledge base taxonomy on microprocessors
description	<p>Many artificial intelligence applications suffer severely from a bottleneck in acquiring domain information necessary to go beyond toy hand-built demonstrations to realistic applications. This project examines one approach to reducing that bottleneck by using automated and semi-automated techniques to analyze published domain-relevant material. A taxonomy of terms related to computers with an emphasis on microprocessors is developed and presented. The methods used are experimental and not yet fully validated, but are potentially of great use for extracting useful domain information from published material. Preliminary validation by comparison with a published taxonomy shows that these methods have produced a taxonomy which is better suited for the immediate use of this taxonomy.</p> === Master of Science
author2	Computer Science
author_facet	Computer Science Emero, Michael F.
author	Emero, Michael F.
author_sort	Emero, Michael F.
title	Using naturally occurring texts as a knowledge acquisition resource for knowledge base design: developing a knowledge base taxonomy on microprocessors
title_short	Using naturally occurring texts as a knowledge acquisition resource for knowledge base design: developing a knowledge base taxonomy on microprocessors
title_full	Using naturally occurring texts as a knowledge acquisition resource for knowledge base design: developing a knowledge base taxonomy on microprocessors
title_fullStr	Using naturally occurring texts as a knowledge acquisition resource for knowledge base design: developing a knowledge base taxonomy on microprocessors
title_full_unstemmed	Using naturally occurring texts as a knowledge acquisition resource for knowledge base design: developing a knowledge base taxonomy on microprocessors
title_sort	using naturally occurring texts as a knowledge acquisition resource for knowledge base design: developing a knowledge base taxonomy on microprocessors
publisher	Virginia Tech
publishDate	2014
url	http://hdl.handle.net/10919/41162 http://scholar.lib.vt.edu/theses/available/etd-02162010-020204/
work_keys_str_mv	AT emeromichaelf usingnaturallyoccurringtextsasaknowledgeacquisitionresourceforknowledgebasedesigndevelopingaknowledgebasetaxonomyonmicroprocessors
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Using naturally occurring texts as a knowledge acquisition resource for knowledge base design: developing a knowledge base taxonomy on microprocessors

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