Persistent Link:
http://hdl.handle.net/10150/289095
Title:
A concept space approach to semantic exchange
Author:
Ng, Tobun Dorbin
Issue Date:
2000
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
This dissertation work investigates the use of information technologies that clarify semantic meaning to help users elaborate their information needs by providing library-specific knowledge to the information seeking process. The research involved two interdependent semantic technologies: concept space consultation and library-specific, domain-specific, automatically generated concept spaces. The concept space consultation phase used spreading activation algorithms--branch-and-bound and Hopfield net algorithms--to explore knowledge sources in specific domains. This research demonstrated the comparable effectiveness of exploration of a library database using a man-made classification scheme and thesaurus as opposed to an automatically generated concept space. The results showed that the use of spreading activation algorithms identified more relevant concepts than the use of the manual browsing method. The concept space technique automatically identifies and extracts concept from a library collection while at the same time computing the strength of associations between concepts. This research demonstrated that the concept space technique was able to create human-recognizable concepts and their associations. In addition, the technique could be scaled to generate very large library-specific concept spaces for a very large underlying library collection. Moreover, the interdependent use of both semantic technologies creates a semantic medium for users and library-specific knowledge sources to exchange content with context--context in user information need and that in corporeal knowledge.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Business Administration, Management.; Information Science.; Computer Science.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Industrial Management
Degree Grantor:
University of Arizona
Advisor:
Chen, Hsinchun

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleA concept space approach to semantic exchangeen_US
dc.creatorNg, Tobun Dorbinen_US
dc.contributor.authorNg, Tobun Dorbinen_US
dc.date.issued2000en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThis dissertation work investigates the use of information technologies that clarify semantic meaning to help users elaborate their information needs by providing library-specific knowledge to the information seeking process. The research involved two interdependent semantic technologies: concept space consultation and library-specific, domain-specific, automatically generated concept spaces. The concept space consultation phase used spreading activation algorithms--branch-and-bound and Hopfield net algorithms--to explore knowledge sources in specific domains. This research demonstrated the comparable effectiveness of exploration of a library database using a man-made classification scheme and thesaurus as opposed to an automatically generated concept space. The results showed that the use of spreading activation algorithms identified more relevant concepts than the use of the manual browsing method. The concept space technique automatically identifies and extracts concept from a library collection while at the same time computing the strength of associations between concepts. This research demonstrated that the concept space technique was able to create human-recognizable concepts and their associations. In addition, the technique could be scaled to generate very large library-specific concept spaces for a very large underlying library collection. Moreover, the interdependent use of both semantic technologies creates a semantic medium for users and library-specific knowledge sources to exchange content with context--context in user information need and that in corporeal knowledge.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectBusiness Administration, Management.en_US
dc.subjectInformation Science.en_US
dc.subjectComputer Science.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineIndustrial Managementen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorChen, Hsinchunen_US
dc.identifier.proquest9965864en_US
dc.identifier.bibrecord.b40479602en_US
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