[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 Boyce’s “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 
(Pearson’s .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 G›mez
      Published online 8 July 2003
      1237
Morillo, Bordons and Gomez make use of ISI’s 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 Pearson’s 
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 Pearson’s 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
Pearson’s 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 
Egghe’s  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

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