
Web Dragons
Inside the Myths of Search Engine Technology
Description
Key Features
- Presents a critical view of the idea of funneling information access through a small handful of gateways and the notion of a centralized index--and the problems that may cause
- Provides promising approaches for addressing the problems, such as the personalization of web services
- Presented by authorities in the field of digital libraries, web history, machine learning, and web and data mining
- Find more information at the author's site: webdragons.net
Readership
Table of Contents
- Preface
1. Setting the Scene
According to the Philosophers
Enter the Technologists
The Information Revolution
The World-Wide Web
So What?
Notes and Sources
2. Literature and The Web
Changing Face of Libraries
Metadata
So What?
Notes and Sources
3. Meet the Web
Basic Concepts
Web Pages: Documents and Beyond
Metrology and Scaling
Structure of the Web
So What?
Notes and Sources
4. How to Search
Searching Text
Searching in a Web
Developments in Web Search
So What?
Notes and Sources
5. The Web Wars
Preserving the Ecosystem
Increasing Visibility: Tricks of the Trade
Business, Ethics, and Spam
The Anti-Spam War
So What?
Notes and Sources
6. Who Controls Information?
The Violence of the Archive
Web Democracy
Privacy and Censorship
Copyright and the Public Domain
The Business of Search
So What?
Notes and Sources
7. The Dragons Evolve
Communities
Private Subnetworks
The User as Librarian
Your Computer and the Web
So What?
Notes and Sources
References
Index
Product details
- No. of pages: 288
- Language: English
- Copyright: © Morgan Kaufmann 2006
- Published: November 3, 2006
- Imprint: Morgan Kaufmann
- eBook ISBN: 9780080469096
About the Authors
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.
Affiliations and Expertise
Marco Gori
(http://www.topitalianscientists.org/top_italian_scientists.aspx). Dr. Gori is a fellow of the IEEE, ECCAI, and IAPR.