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Modern Information Retrieval : The Concepts and Technology behind Search,9780201398298

Modern Information Retrieval : The Concepts and Technology behind Search

by ;
ISBN13:

9780201398298

ISBN10:
020139829X
Media:
Paperback
Pub. Date:
1/1/1999
Publisher(s):
Addison Wesley
List Price: $58.60
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Summary

Information Retrieval/Database Management Modern Information Retrieval Ricardo Baeza-Yates and Berthier Ribeiro-Neto We live in the information age, where swift access to relevant information in whatever form or medium can dictate the success or failure of businesses or individuals. The timely provision of relevant information with minimal 'noise' is critical to modern society and this is what information retrieval (IR) is all about. It is a dynamic subject, with current changes driven by the expansion of the World Wide Web, the advent of modern and inexpensive graphical user interfaces and the development of reliable and low-cost mass storage devices. Modern Information Retrieval discusses all these changes in great detail and can be used for a first course on IR as well as graduate courses on the topic. The organization of the book, which includes a comprehensive glossary, allows the reader to either obtain a broad overview or detailed knowledge of all the key topics in modern IR. The heart of the book is the nine chapters written by Baeza-Yates and Ribeiro-Neto, two leading exponents in the field. For those wishing to delve deeper into key areas there are further state-of-the-art chapters on specialized topics, fully integrated and using the same notation and terminology, written by leading researchers: Parallel and Distributed IR - algorithms and architectures (Eric Brown) User Interfaces and Visualization - the main interface paradigms for query formation and visualization of results (Marti A. Hearst) Multimedia IR: Models and Languages - including MULTOS and SQL3 (Elisa Bertino, Barbara Catania and Elena Ferrari) Multimedia IR: Indexing and Searching - R-trees and GEMINI and QBIC (Christos Faloutsos) Libraries and Bibliographical Systems - online systems and public access catalogs (Edie M. Rasmussen) Digital Libraries - the main challenges for effective deployment (Edward A Fox and Ohm Sornil) In addition, the book contains several chapters on Text IR - all the main IR models, query operations, text operations, indexing and searching (three of them co-authored with Gonzalo Navarro or Nivio Ziviani) The Web - challenges, measures and models, search engines, directories, query languages, metasearches and trends Modern Information Retrieval will prove invaluable to students in Computer Science, Information Science and Library Science departments, as well as to programmers and analysts working with products related to the Web, intranets, document database systems and digital libraries. Visit Addison Wesley Longman on the World Wide Web at: http://www.awl-he.com/computing/ http://www.awl.com/cseng/

Table of Contents

Preface v
Acknowledgements vii
Biographies xvii
Introduction
1(18)
Motivation
1(2)
Information versus Data Retrieval
1(1)
Information Retrieval at the Center of the Stage
2(1)
Focus of the Book
3(1)
Basic Concepts
3(3)
The User Task
4(1)
Logical View of the Documents
5(1)
Past, Present, and Future
6(3)
Early Developments
6(1)
Information Retrieval in the Library
7(1)
The Web and Digital Libraries
7(1)
Practical Issues
8(1)
The Retrieval Process
9(1)
Organization of the Book
10(5)
Book Topics
11(1)
Book Chapters
12(3)
How to Use this Book
15(2)
Teaching Suggestions
15(1)
The Book's Web Page
16(1)
Bibliograph Discussion
17(2)
Modeling
19(54)
Introduction
19(1)
A Taxonomy of Information Retrieval Models
20(1)
Retrieval: Ad hoc and Filtering
21(2)
A Formal Characterization of IR Models
23(1)
Classic Information Retrieval
24(10)
Basic Concepts
24(1)
Boolean Model
25(2)
Vector Model
27(3)
Probabilistic Model
30(4)
Brief Comparison of Classic Models
34(1)
Alternative Set Theoretic Models
34(7)
Fuzzy Set Model
34(4)
Extended Boolean Model
38(3)
Alternative Algebraic Models
41(7)
Generalized Vector Space Model
41(3)
Latent Semantic Indexing Model
44(2)
Neural Network Model
46(2)
Alternative Probabilistic Models
48(13)
Bayesian Networks
48(1)
Inference Network Model
49(7)
Belief Network Model
56(3)
Comparison of Bayesian Network Models
59(1)
Computational Costs of Bayesian Networks
60(1)
The Impact of Bayesian Network Models
61(1)
Structured Text Retrieval Models
61(4)
Model Based on Non-Overlapping Lists
62(1)
Model Based on Proximal Nodes
63(2)
Models for Browsing
65(4)
Flat Browsing
65(1)
Structure Guided Browsing
66(1)
The Hypertext Model
66(3)
Trends and Research Issues
69(1)
Bibliographic Discussion
69(4)
Retrieval Evaluation
73(26)
Introduction
73(1)
Retrieval Performance Evaluation
74(10)
Recall and Precision
75(7)
Alternative Measures
82(2)
Reference Collections
84(12)
The TREC Collection
84(7)
The CACM and ISI Collections
91(3)
The Cystic Fibrosis Collection
94(2)
Trends and Research Issues
96(1)
Bibliographic Discussion
96(3)
Query Languages
99(18)
Introduction
99(1)
Keyword-Based Querying
100(4)
Single-World Queries
100(1)
Context Queries
101(1)
Boolean Queries
102(1)
Natural Language
103(1)
Pattern Matching
104(2)
Structural Queries
106(7)
Fixed Structure
108(1)
Hypertext
108(1)
Hierarchical Structure
109(4)

Excerpts

Information retrieval (IR) has changed considerably in recent years with the expansion of the World Wide Web and the advent of modern and inexpensive graphical user interfaces and mass storage devices. As a result., traditional IR textbooks have become quite out of date and this has led to the introduction of new IR books. Nevertheless, we believe that there is still great need for a book that approaches the field in a rigorous and complete way from a computer-science perspective (as opposed to a user-centered perspective). This book is an effort to partially fulfill this gap and should be useful for a first course on information retrieval as well as for a graduate course on the topic. The book comprises two portions which complement and balance each other. The core portion includes nine chapters authored or co-authored by the designers of the book. The second portion, which is fully integrated with the first, is formed by six state-of-the-art chapters written by leading researchers in their fields. The same notation and glossary are used in all the chapters. Thus, despite the fact that several people have contributed to the text, this book is really much more a textbook than an edited collection of chapters written by separate authors. Furthermore, unlike a collection of chapters, we have carefully designed the contents and organization of the book to present a cohesive view of all the important aspects of modern information retrieval. From IR models to indexing text, from IR visual tools and interfaces to the Web, from IR. multimedia to digital libraries, the book provides both breadth of coverage and richness of detail. It is our hope that, given the now clear relevance and significance of information retrieval to modern society. the book will contribute to further disseminate the study of the discipline at information science, computer science, and library science departments throughout the world. Ricardo Baeza-Yates, Santiago, Chile Berthier Ribeiro-Neto. Belo Horizonte, Brazil January, 1999 020139829XP04062001


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