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

Simple item page
dc.contributor.authorEmero, Michael F.en
dc.contributor.committeechairNutter, Jane Terryen
dc.contributor.committeememberFox, Edward A.en
dc.contributor.committeememberHix, Deborah S.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2014-03-14T21:29:49Zen
dc.date.adate2010-02-16en
dc.date.available2014-03-14T21:29:49Zen
dc.date.issued1992-08-05en
dc.date.rdate2010-02-16en
dc.date.sdate2010-02-16en
dc.description.abstractMany 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.en
dc.description.degreeMaster of Scienceen
dc.format.extentvii, 70 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-02162010-020204en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-02162010-020204/en
dc.identifier.urihttp://hdl.handle.net/10919/41162en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V851_1992.E647.pdfen
dc.relation.isformatofOCLC# 27859328en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V851 1992.E647en
dc.subject.lcshArtificial intelligenceen
dc.subject.lcshDomains of holomorphyen
dc.subject.lcshKnowledge acquisition (Expert systems)en
dc.titleUsing naturally occurring texts as a knowledge acquisition resource for knowledge base design: developing a knowledge base taxonomy on microprocessorsen
dc.typeMaster's projecten
dc.type.dcmitypeTexten
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
LD5655.V851_1992.E647.pdf
Size:
2.03 MB
Format:
Adobe Portable Document Format
Download

Collections

Master's Papers and Projects