Dissertation Information for Soonthorn Kaewlai NAME: - Soonthorn Kaewlai
DEGREE:
- Ph.D.
DISCIPLINE:
- Library and Information Science
SCHOOL:
- Case Western Reserve University (USA) (1978)
ADVISORS: - Phyllis A. Richmond
COMMITTEE MEMBERS: - Conrad H. Rawski - Burton V. Dean - William M. Shaw Jr.
MPACT Status: Fully Complete
Title: An Experiment in the Construction of a Systematic Author-Name File for Document Retrieval
Abstract: This experiment was designed to test
the assumption that subject searching
via authors' names as access points
would be equivalent to searching by
subjects. The ancillary problem dealt
with the method of organization of the
author-name file for serving this
purpose. It was conceived that the
file could be organized by grouping
authors' names and documents in groups
which were meaningful in terms of
subject content dealt with by
documents in the group. In other
words, each author's name was related
to other names in the file as a token
of authors' subject interests.
Incidences in the process of
communication among authors in
preparing certain documents prior to
publication were considered to reflect
authors' subject interests. these
incidences were evidenced by the
appearance of names called
Communication Data-- names of
collaborators, names of authors
acknowledged, names of authors whose
papers were referenced, and names of
authors who made reference to the
given papers. These data were used a
sAuthors' Descriptions to characterize
authors and their documents. Authors
of the given papers became members of
the same Author-name group if they had
some acceptable number of coincident
names in the Author's descriptions. An
overlapping clustering method was
employed for finding those Author-Name
Groups which were bases for building
the Systematic Author-Name File: In
this file, each author-name entry was
linked to a set of documents in group
form at each specified threshold. For
manual searching, the main entries
were arranged in alphabetical order.
From this, the search was performed
either by looking up a given author's
name of a document considered to be
relevant and retrieving a set of
related documents at a certain
threshold or by rotating a search,
based on the relevant document
retrieved, from one entry to another
until the result was satisfied. The data base used in this experiment
comprised 800 documents in the field
of library and information science previously used by Keen and
Digger in the Aberystwyth indexing
languages test. Relevance judgments,
queries, and some results obtained
from that study were employed for
testing and evaluation of the Systematic Author-Name File. Forty
queries selected from Keen-Digger
study were used in the experiment. The results showed that grouping
authors' names based On using
Communication Data was not quite
successful. A large numbet of authors'
names and documents did not have sufficient data and were
unable to be gro~ped with others.
However, the analysis of the selected
Answer Sets (in which Author-Name
Groups were contained) revealed that
most Answer Sets contained the
acceptable document groups in terms of
probabili ty of being answer sets of
some querles. Though in some case the
Answer Set was not an acceptable
answer to the searched query, it was
found to be an acceptable answer of at
least one other query at best. In
comparing the results of the present
study with those of the Keen-Digger
study using an uncontrolled indexing
language with the same data base, both
were found to be comparable for the
special case where sufficient data
existed to try the author's name
method. New ways of finding Author-Name Groups
as well as application of the method in an
operational system with real users were recommended for
further research.
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MPACT Scores for Soonthorn Kaewlai A = 0
C = 0
A+C = 0
T = 0
G = 0
W = 0
TD = 0
TA = 0
calculated 2008-01-31 06:01:12
Advisors and Advisees Graph
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