Future of Classification

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A01=Arthur Maltby
A01=Rita Marcella
ADAM
Author_Arthur Maltby
Author_Rita Marcella
Automatic Classification Techniques
bibliographic
bibliographic control
Category=GLC
Category=GLF
Category=GLK
Citation Order
classification in digital environments
Classification Research Group
Classification Schemes
Common Auxiliaries
congress
Congress Classification Scheme
control
DDC
decimal
dewey
digital library management
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Facet Analysis
faceted classification
group
information retrieval theory
Internet Scout Project
knowledge organisation systems
library
Library Classification Schemes
Marc
Marc Record
MeSH
MRF
National Library
OCLC
research
Rin
scheme
subject indexing methods
Traditional Classification Schemes
UDC
universal
Universal Bibliographic Control
VRML
WAIS
World Wide Web Project

Product details

  • ISBN 9780566079924
  • Weight: 362g
  • Dimensions: 156 x 234mm
  • Publication Date: 02 Mar 2000
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Classification now has to encompass ’non-physical’ media such as the Internet, yet still ensure access to knowledge held in traditional physical forms on library shelves. What does this mean for the future, and can classification cope with the virtual library? Written by a group of internationally-known specialists, this book reassesses traditional classification principles and the extent to which they provide the right basis for modern information storage and retrieval. First posing the radical question of whether classification is still really necessary, the book proceeds by emphasizing the need for systematic knowledge organization, with two chapters concentrating on classification in relation to IT and the Internet. Later chapters re-examine how present systems - Dewey Decimal Classification, Universal Decimal Classification and Library of Congress Classification - are likely to adapt, and provide a wealth of information sources for investigating the subject further. The Future of Classification delves deep into what makes knowledge-seeking successful. Those studying information storage and retrieval, and managers wanting to improve retrieval methods on which their service depends should read it.
Rita Marcella, co-author with Robert Newton of A New Manual of Classification, also published by Gower, is Reader and Deputy Head of the School of Information and Media at Robert Gordon University, Aberdeen, UK. She became a lecturer at the university after working as a cataloguer and classifier in an academic library. Now retired, Arthur Maltby was formerly, amongst other posts, head of a university information studies department and an adviser on education and libraries at the Scottish Office. He has written or edited nine other books and numerous articles on topics as diverse as information retrieval, Irish history and Shakespeare.

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