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Ph.D. Dissertation
Title
A Concept Space Approach To Semantic Exchange
Tobun Dorbin Ng
Doctor of Philosophy in Management
Management Information Systems
The University of Arizona
April 2000
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.
Table of Contents
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Brief Table of Contents
Chapter 1 Introduction
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14
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Chapter 2 Literature Review
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17
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Chapter 3 Research Questions and Methodologies
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56
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Chapter 4 Concept Space Consultation
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69
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Chapter 5 Large-scale Concept Space Generation
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122
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Chapter 6 Conclusions
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162
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Appendix A. Benchmark Testing
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173
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Appendix B. Sample Sessions
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177
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Appendix C. Cancer Space: A Web-based Information Retrieval System
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182
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Appendix D. Funding and Acknowledgements
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189
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References
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191
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Detailed Table of Contents
Full Text
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Entire Paper, 206 pages
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Divided into 8 Partitions
Partitions
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Number of Pages
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PDF (KB)
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Postscript (gzip) (KB)
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Chapter 1
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16
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124
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49
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Chapter 2
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39
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189
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62
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Chapter 3
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13
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106
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138
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Chapter 4
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53
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309
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93
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Chapter 5
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40
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256
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114
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Chapter 6
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11
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97
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37
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Appendice A-D
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18
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178
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89
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References
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16
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120
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47
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Citation
Ng, Tobun Dorbin.
A Concept Space Approach To Semantic Exchange.
Ph.D. Dissertation, The University of Arizona.
April, 2000.
Defense
Lessons Learned
This dissertation has cumulated some research work
performed over last decade (of the twentieth century) in the AI Lab.
The research value and lessons learned were documented
in various journal articles in addition to this dissertation.
More importantly, it was a journey from a vague beginning
of my career to a clear finishing of this dissertation. I was very
fortunate to have unconditional support from my family and friends
throughout this journey. They have elucidated me
the meaning of life, love, and living.
We are loved beyond our capacity to comprehend.
Jewel Kilcher
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Acknowledgement & Dedication
Remark on PDF
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