[Asis-l] JASIST TOC, 54, # 13; Nov. 2003
Richard Hill
rhill at asis.org
Fri Nov 14 15:26:18 EST 2003
Journal of the American Society for Information Science and Technology
Volume 54, Number 13. November 2003
[Note: at the end of this message are URLs for viewing contents of JASIST
from past issues. Below, the contents of Bert Boyces In this Issue has
been cut into the Table of Contents.]
CONTENTS
EDITORIAL
In This Issue
Bert R. Boyce
1173
RESEARCH
A Comprehensive and Systematic Model of User Evaluation of Web Search
Engines: I. Theory
and Background
Louise T. Su
Published online 7 July 2003
1175
In this issue Su presents an extensive literature review of web 1. search
engine evaluation from 1995 to 2000 concluding that the extensive progress
made does not extend to knowledge of end user motives, backgrounds,
information needs, strategies, success rates, or judgements concerning
engine effectiveness. An evaluation model is suggested which includes lists
of performance measures based upon relevance, efficiency, utility, user
satisfaction, and the number of good links provided; and also participant
measures based upon background, experience, needs, and search behavior. The
steps for a test of the model are then outlined.
A Comprehensive and Systematic Model of User Evaluation of Web Search
Engines: II. An
Evaluation by Undergraduates
Louise T. Su
Published online 10 July 2003
1193
In her second paper she tests her model on 36 volunteer junior and senior
students at the University of Pittsburgh, each of whom had an information
need and some online search experience. AltaVista, Excite, Infoseek, and
Lycos were run under Netscape 4.0 with each subject searching on all four
engines and each engine searched in all four possible order
positions. Relevance judgements were made in a second session with the five
most user relevant drops ranked. Both online questionnaires and post search
interviews were utilized and a log program recorded times, terms, and
search results. ANOVA tests were run to find the effect of engine and
participant discipline, while system and user rankings were tested for
correlation, and non-parametric tests run on nominal and ordinal data.
Disciplines are significantly different as to their requirement for
comprehensiveness. Engine effect is significant for precision and relative
recall with the ranking for all measures being AltaVista, Excite, Infoseek,
Lycos. The ranking provided by Lycos was closest to the participants
(Pearsons .28) with AltaVista and Infoseek following closely. Infoseek had
the lowest mean search times and participants used between 3 and 5 queries
on each engine, but efficiency measures did not vary significantly. User
satisfaction ratings vary depending upon the measure utilized, but
valuation of results as a whole find both AltaVista and Excite
significantly better than Lycos. Content analysis of interview data
indicate four user criteria for satisfaction: interaction, value,
precision, and overall performance.
A Summarization System for Chinese News from Multiple Sources
Hsin-Hsi Chen, June-Jei Kuo, Sheng-Jie Huang, Chuan-Jie Lin, and
Hung-Chia Wung
Published online 29 July 2003
1224
Chen, et alia, receive online news from six Chinese online newspapers,
cluster the stories together based first upon predefined topics and then
named entities extracted from the text, partition this text into meaningful
units, link the meaningful units which denote the same event
using noun and verb similarity measures, and finally display the results by
selecting only the longest sentence from a set of similar meaningful units
ordered by their original position. Presentation should be improved by
moving meaningful units to the fore that have the most informative words.
These are words of both high document and high term frequency. Nine
events occurring over a one month period were selected as a test corpus.
Using a baseline of similarity measures computed with thesaurus assistance,
with each term matched only once and order not considered, several matching
strategies were compared with small variations. The presentation techniques
were tested by evaluators answering questions with various designs while
degree or reduction, precision, and interaction times were recorded. Use of
informative words did not increase performance and removal of lightly
covered stories did not reduce performance. A larger scale test without
human users indicates informative words may in fact improve performance.
Interdisciplinarity in Science: A Tentative Typology of Disciplines and
Research Areas
Fernanda Morillo, Mara Bordons, and Isabel Gmez
Published online 8 July 2003
1237
Morillo, Bordons and Gomez make use of ISIs practice of multi-assignment
of journals to topical categories to indicate the existence of cognitive
links among disciplines. The categories, excluding Multi-disciplinary
science and Education/Scientific disciplines, were grouped into nine
general research areas. They then determined the percentage of
multi-assigned journals per category, the number of such links for a
category within a research area and also external to its assigned research
area, and the number of different links in a category normalized by
category size in journals. The strength of the relationship was also
measured by dividing the number of journals in common in two categories by
the square root of product of the number of journals in each category. On
average 53% of journals in each category were multi-assigned but categories
varied from no multi-assigned journals to 100%. Bio-medicine and Technology
appear to be highly multi-disciplinary while Humanities is far less so. New
disciplines tend to be highly interdisciplinary and show considerable
linkage with external research areas.
Author Cocitation Analysis and Pearson's r
Howard D. White
Published online 18 July 2003
1250
White responds to a previously published criticism of the use of Pearsons
r as similarity measure in author co-citation analysis which suggested that
r over responds to dissimilarity when a second group of authors with
minimal co-citation to an initial group is combined with that group. Cosine
and chi square were suggested as replacements. The criticism appears to
focus on the simultaneous study of disjoint literatures, which seems an
unlikely circumstance. Large blocks of cells with zero co-citation will
destabilize Pearsons r but such have not appeared in actual data and are
likely only do so when author-pairs are chosen for lack of co-citation or a
less than cohesive set of authors has been chosen rather than a literature.
Using the disjoint data with
Pearsons r, the cosine measure and chi square, multidimensional scaling
and hierarchical clustering routines yield maps that are all very similar.
BRIEF COMMUNICATION
"Type/Token-Taken" Informetrics: Some Comments and Further Examples
Quentin L. Burrell
Published online 8 July 2003
1260
Finally, in a brief communication, Burrell develops
Egghes Type/Token-Taken model of sources generating items as a discrete
rather than continuous formulation and finds some results simpler and more
clear-cut. He also illustrates the development of the log normal and
negative binomial distributions in these term.
BOOK REVIEW
Metadata Fundamentals for All Librarians, by Priscilla Caplan
Wallace Koehler
Published online 21 July 2003
1264
CALL FOR PAPERS
Information Resources Management Association (IRMA)
15th Annual International Conference
Innovations Through Information Technology
Published online 8 September 2003
1265
------------------------------------------------------
The ASIS web site <http://www.asis.org/Publications/JASIS/tocs.html>
contains the Table of Contents and brief abstracts as above from January
1993 (Volume 44) to date.
The John Wiley Interscience site <http://www.interscience.wiley.com>
includes issues from 1986 (Volume 37) to date. Guests have access only to
tables of contents and abstracts. Registered users of the interscience
site have access to the full text of these issues and to preprints.
Executive Director
American Society for Information Science and Technology
1320 Fenwick Lane, Suite 510
Silver Spring, MD 20910
FAX: (301) 495-0810
PHONE: (301) 495-0900
http://www.asis.org
More information about the Asis-l
mailing list