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9780470033630

Information Retrieval: Searching in the 21st Century

by ;
  • ISBN13:

    9780470033630

  • ISBN10:

    0470033630

  • Format: eBook
  • Copyright: 2009-12-01
  • Publisher: Wiley
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Summary

This book is an essential reference to cutting-edge issues and future directions in information retrievalInformation retrieval (IR) can be defined as the process of representing, managing, searching, retrieving, and presenting information. Good IR involves understanding information needs and interests, developing an effective search technique, system, presentation, distribution and delivery. The increased use of the Web and wider availability of information in this environment led to the development of Web search engines. This change has brought fresh challenges to a wider variety of users' needs, tasks, and types of information.Today, search engines are seen in enterprises, on laptops, in individual websites, in library catalogues, and elsewhere. Information Retrieval: Searching in the 21 st Century focuses on core concepts, and current trends in the field.This book focuses on: Information Retrieval Models User-centred Evaluation of Information Retrieval Systems Multimedia Resource Discovery Image Users' Needs and Searching Behaviour Web Information Retrieval Mobile Search Context and Information Retrieval Text Categorisation and Genre in Information Retrieval Semantic Search The Role of Natural Language Processing in Information Retrieval: Search for Meaning and Structure Cross-language Information Retrieval Performance Issues in Parallel Computing for Information RetrievalThis book is an invaluable reference for graduate students on IR courses or courses in related disciplines (e.g. computer science, information science, human-computer interaction, and knowledge management), academic and industrial researchers, and industrial personnel tracking information search technology developments to understand the business implications. Intermediate-advanced level undergraduate students on IR or related courses will also find this text insightful. Chapters are supplemented with exercises to stimulate further thinking.

Table of Contents

Foreword
Preface
List of Contributors
Introduction
Information Retrieval Models
Introduction
Exact Match Models
Vector Space Approaches
Probabilistic Approaches
Summary and Further Reading
Exercises
References
User-centred Evaluation of Information Retrieval Systems
Introduction
The Medlars Test
The Okapi Project
The IIR Evaluation Model
Summary
Exercises
References
Multimedia Resource Discovery
Introduction
Basic Multimedia Search Technologies
Challenges of Automated Visual Indexing
Added Services
Browsing: Lateral and Geotemporal
Summary
Exercises
References
Image Users Needs and Searching Behaviour
Introduction
Image Attributes and Users Needs
Image Searching Behaviour
New Directions for Image Access
Summary
Exercises
References
Web Information Retrieval
Introduction
Distinctive Characteristics of the Web
Three Ranking Problems
Other Web IR Issues
Evaluation of Web Search Effectiveness
Summary
Exercises
References
Mobile Search
Introduction: Mobile Search Why Now?
Information for Mobile Search
Designing for Mobile Search
Case Studies
Summary
Exercises
References
Context and Information Retrieval
Introduction
What is Context?
Context in Information Retrieval
Context Modelling and Representation
Context and Content
Related Topics
Evaluating Context-aware IR Systems
Summary
Exercises
References
Text Categorisation and Genre in Information Retrieval
Introduction: What is Text Categorisation?
How to Build a Text Categorisation System
Evaluating Text Categorisation Systems
Genre: Text Structure and Purpose
Related Techniques: Information Filtering
Applications of Text Categorisation
Summary and the Future of Text Categorisation
Exercises
References
Semantic Search
Introduction
Meta-data and Annotations
Semantic Annotations: the Fibres of the Semantic Web
Semantic Annotation of Named Entities
Semantic Indexing and Retrieval
Semantic Search Tools
Summary
Exercises
References
The Role of Natural Language Processing in Information Retrieval: Searching for Meaning and Structure
Introduction
Natural Language Processing Techniques
Applications of Natural Language Processing in Information Retrieval
Discussion
Summary
Exercises
References
Cross-language Information Retrieval
Introduction
Major Approaches and Challenges in CLIR
Identifying Translation Units
Obtaining Translation Knowledge
Using Translation Knowledge
Interactivity in CLIR
Evaluation of CLIR systems
Summary and Future Directions
Exercises
References
Performance Issues in Parallel Computing for Information Retrieval
Introduction
Why parallel IR?
Review of Previous Work
Distribution Methods for Inverted File Data
Tasks in Information Retrieval
A Synthetic Model of Performance for Parallel Information Retrieval
Empirical Examination of Synthetic Model
Summary and Further Research
Exercises
References
Solutions to Exercises
Index
Table of Contents provided by Publisher. All Rights Reserved.

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