Description

Given modern society's need to control its ever-increasing body of information, digital libraries will be among the most important and influential institutions of this century. With their versatility, accessibility, and economy, these focused collections of everything digital are fast becoming the "banks" in which the world's wealth of information is stored.

How to Build a Digital Library is the only book that offers all the knowledge and tools needed to construct and maintain a digital library-no matter how large or small. Two internationally recognized experts provide a fully developed, step-by-step method, as well as the software that makes it all possible. How to Build a Digital Library is the perfectly self-contained resource for individuals, agencies, and institutions wishing to put this powerful tool to work in their burgeoning information treasuries.

Key Features

* Sketches the history of libraries-both traditional and digital-and their impact on present practices and future directions * Offers in-depth coverage of today's practical standards used to represent and store information digitally * Uses Greenstone, freely accessible open-source software-available with interfaces in the world's major languages (including Spanish, Chinese, and Arabic) * Written for both technical and non-technical audiences * Web-enhanced with software documentation, color illustrations, full-text index, source code, and more

Readership

librarians and digital librarians, corporate librarians, multimedia professionals, upper division or graduate-level students in digital libraries, multimedia, and information retrieval in Library Science, Computer Science, or Information Science departments and schools.

Table of Contents

Contents Preface Acknowledgements Chapter 1 Orientation: The world of digital libraries Chapter 2 Preliminaries: Sorting out the ingredients Chapter 3 Presentation: User interfaces Chapter 4 Documents: The raw material Chapter 5 Markup and metadata: Elements of organization Chapter 6 Construction: Building collections Chapter 7 Delivery: How Greenstone works Chapter 8 Interoperability: Standards and protocols Chapter 9 Visions: Future, past, and present References Glossary of terms Appendix A Installing and operating Greenstone Appendix B Greenstone source code

Details

No. of pages:
518
Language:
English
Copyright:
© 2003
Published:
Imprint:
Morgan Kaufmann
Print ISBN:
9781558607903
Electronic ISBN:
9780080508252

About the editors

David Bainbridge

David Bainbridge is a senior lecturer in Computer Science at the University of Waikato, New Zealand. He holds a PhD in Optical Music Recognition from the University of Canterbury, New Zealand where he studied as a Commonwealth Scholar. Since moving to Waikato in 1996 he has continued to broadened his interest in digital media, while retaining a particular emphasis on music. An active member of the New Zealand Digital Library project, he manages the group's digital music library, Meldex, and has collaborated with several United Nations Agencies, the BBC and various public libraries. David has also worked as a research engineer for Thorn EMI in the area of photo-realistic imaging and graduated from the University of Edinburgh in 1991 as the class medalist in Computer Science.

Ian Witten

Ian H. Witten is a professor of computer science at the University of Waikato in New Zealand. He directs the New Zealand Digital Library research project. His research interests include information retrieval, machine learning, text compression, and programming by demonstration. He received an MA in Mathematics from Cambridge University, England; an MSc in Computer Science from the University of Calgary, Canada; and a PhD in Electrical Engineering from Essex University, England. He is a fellow of the ACM and of the Royal Society of New Zealand. He has published widely on digital libraries, machine learning, text compression, hypertext, speech synthesis and signal processing, and computer typography. He has written several books, the latest being Managing Gigabytes (1999) and Data Mining (2000), both from Morgan Kaufmann.