Annual Review of Information Science and Technology (ARIST) is one of the most important and indispensable annuals for the information science and technology professional. Since
1966, ARIST has been continuously at the cutting edge in contributing a useful and comprehensive view of information science and technology. ARIST reviews numerous topics within the field and ultimately provides an
annual source of ideas, trends, and references to the literature.
This edition of ARIST covers eight topics as follows:
I. Planning Information Systems and Services User Acceptance of Information Technology Theory and
Models
By Andrew Dillon and Michael G. Morris Feedback in Information Retrieval
By Amanda Spink and Robert M. Losee II. Basic Techniques and Technologies
Natural Language Processing:Toward Large-Scale,
Robust Systems
By Stephanie W. Haas
Query Expansion
By Efthimis N. Efthimiadis
Cataloging and Classifying Information Resources on the
Internet
By Jeannette Woodward III Applications
Music as Information
By Alexander McLane
Information Resources Management
By Pierrette Bergeron Social Informatics of Digital Library Use and
Infrastructure
By Ann Peterson Bishop and Susan Leigh Starr
ARIST is scholarly, thorough within the scope defined by the chapter author, up-to-date, well written, and readable by an audience that goes beyond the author's immediate peer group to researchers and practitioners
in information science and technology in general and ASIS in particular. ARIST Volume 31: Annual Review of Information Science and Technology
© 1996, Association for Information Science
510 Pages, Hardbound
ISBN: 1-57387-033-1 |
