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Dissertation Information for Songqiao Liu

NAME:
- Songqiao Liu

DEGREE:
- Ph.D.

DISCIPLINE:
- Library and Information Science

SCHOOL:
- University of California, Los Angeles (USA) (1993)

ADVISORS:
- Elaine F. Svenonius

COMMITTEE MEMBERS:
- Harold Borko
- Alfonso Francisco Cardenas
- Mark Steven Silver
- Michele Valerie Cloonan

MPACT Status: Fully Complete

Title: The automatic decomposition of DDC synthesized numbers

Abstract: Much literature has been written speculating upon how classification can be used in online catalogs to improve information retrieval. While some empirical studies have been done exploring whether the direct use of traditional classification schemes designed for a manual environment is effective and efficient in the online environment, none has manipulated these manual classifications in such a way as to take full advantage of the power of both the classification and computer. It has been suggested by some authors, such as Wajenberg and Drabenstott, that this power could be realized if the individual components of synthesized DDC numbers could be identified and indexed. This study looks at the feasibility of automatically decomposing DDC synthesized numbers and the implications of such decomposition for information retrieval. The following two research questions were posed for this study: (1) Is it possible to decompose synthesized DDC numbers into component numbers accurately by the computer? (2) How can the decomposition of DDC synthesized numbers improve information storage and retrieval?

After an analysis of the instructions for synthesizing numbers in the main class Arts (700) and all DDC Tables, 17 decomposition rules were defined, 13 covering the Add Notes and four the Standard Subdivisions. 1,701 DDC synthesized numbers were decomposed by a computer system called DND (Dewey Number Decomposer), developed by the researcher. From the 1,701 numbers, 600 were randomly selected for examination by three judges, each evaluating 200 numbers. The decomposition success rate was 100% and it was concluded that synthesized DDC numbers can be accurately decomposed automatically.

The study has implications for information retrieval, expert systems for assigning DDC numbers, automatic indexing, switching language development, enhancing classifiers' work, teaching library school students, and providing quality control for DDC number assignments. These implications were explored using a prototype retrieval system.

MPACT Scores for Songqiao Liu

A = 0
C = 0
A+C = 0
T = 0
G = 0
W = 0
TD = 0
TA = 0
calculated 2008-01-31 06:14:47

Advisors and Advisees Graph

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Students under Songqiao Liu

ADVISEES:
- None

COMMITTEESHIPS:
- None