Normal view MARC view ISBD view

Information retrieval : searching in the 21st century / [edited by] Ayşe Göker, John Davies.

Contributor(s): Goker, Ayse | Davies, J. (N. John).
Material type: TextTextPublisher: Chichester, U.K. : Wiley, 2009Description: xxiii, 295 p. : ill. ; 25 cm.ISBN: 9780470027622; 0470027622.Subject(s): Information retrievalDDC classification: 025.524 Online resources: WorldCat details | Ebook Fulltext
Contents:
Table of contents Foreword. Preface. About the Editors. List of Contributors. Introduction. 1 Information Retrieval Models ( Djoerd Hiemstra). 1.1 Introduction. 1.2 Exact Match Models. 1.3 Vector Space Approaches. 1.4 Probabilistic Approaches. 1.5 Summary and Further Reading. Exercises. References. 2 User-centred Evaluation of Information Retrieval Systems ( Pia Borlund). 2.1 Introduction. 2.2 The MEDLARS Test. 2.3 The Okapi Project. 2.4 The Interactive IR Evaluation Model. 2.5 Summary. Exercises. References. 3 Multimedia Resource Discovery ( Stefan R u ger). 3.1 Introduction. 3.2 Basic Multimedia Search Technologies. 3.3 Challenges of Automated Visual Indexing. 3.4 Added Services. 3.5 Browsing: Lateral and Geotemporal. 3.6 Summary. Exercises. References. 4 Image Users' Needs and Searching Behaviour ( Stina Westman). 4.1 Introduction. 4.2 Image Attributes and Users' Needs. 4.3 Image Searching Behaviour. 4.4 New Directions for Image Access. 4.5 Summary. Exercises. References. 5 Web Information Retrieval ( Nick Craswell and David Hawking). 5.1 Introduction. 5.2 Distinctive Characteristics of the Web. 5.3 Three Ranking Problems. 5.4 Other Web IR Issues. 5.5 Evaluation of Web Search Effectiveness. 5.6 Summary. Exercises. References. 6 Mobile Search ( David Mountain, Hans Myrhaug and Ay s e G o ker). 6.1 Introduction: Mobile Search - Why Now? 6.2 Information for Mobile Search. 6.3 Designing for Mobile Search. 6.4 Case Studies. 6.5 Summary. Exercises. References. 7 Context and Information Retrieval ( Ay s e G o ker, Hans Myrhaug and Ralf Bier). 7.1 Introduction. 7.2 What is Context? 7.3 Context in Information Retrieval. 7.4 Context Modelling and Representation. 7.5 Context and Content. 7.6 Related Topics. 7.7 Evaluating Context-aware IR Systems. 7.8 Summary. Exercises. References. 8 Text Categorisation and Genre in Information Retrieval ( Stuart Watt). 8.1 Introduction: What is Text Categorisation? 8.2 How to Build a Text Categorisation System. 8.3 Evaluating Text Categorisation Systems. 8.4 Genre: Text Structure and Purpose. 8.5 Related Techniques: Information Filtering. 8.6 Applications of Text Categorisation. 8.7 Summary and the Future of Text Categorisation. Exercises. References. 9 Semantic Search ( John Davies, Alistair Duke and Atanas Kiryakov). 9.1 Introduction. 9.2 Semantic Web. 9.3 Metadata and Annotations. 9.4 Semantic Annotations: the Fibres of the Semantic Web. 9.5 Semantic Annotation of Named Entities. 9.6 Semantic Indexing and Retrieval. 9.7 Semantic Search Tools. 9.8 Summary. Exercises. References. 10 The Role of Natural Language Processing in Information Retrieval: Searching for Meaning and Structure ( Tony Russell-Rose and Mark Stevenson). 10.1 Introduction. 10.2 Natural Language Processing Techniques. 10.3 Applications of Natural Language Processing in Information Retrieval. 10.4 Discussion. 10.5 Summary. Exercises. References. 11 Cross-Language Information Retrieval ( Daqing He and Jianqiang Wang). 11.1 Introduction. 11.2 Major Approaches and Challenges in CLIR. 11.3 Identifying Translation Units. 11.4 Obtaining Translation Knowledge. 11.5 Using Translation Knowledge. 11.6 Interactivity in CLIR. 11.7 Evaluation of CLIR Systems. 11.8 Summary and Future Directions. Exercises. References. 12 Performance Issues in Parallel Computing for Information Retrieval (Andrew MacFarlane). 12.1 Introduction. 12.2 Why Parallel IR? 12.3 Review of Previous Work. 12.4 Distribution Methods for Inverted File Data. 12.5 Tasks in Information Retrieval. 12.6 A Synthetic Model of Performance for Parallel Information Retrieval. 12.7 Empirical Examination of Synthetic Model. 12.8 Summary and Further Research. Exercises. References. Solutions to Exercises. Index.
Summary: "This book is an essential reference to cutting-edge issues and future directions in information retrieval Information 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
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book EWU Library
E-book
Non-fiction 025.524 INF 2009 (Browse shelf) Not For Loan
Text Text EWU Library
Reserve Section
Non-fiction 025.524 INF 2009 (Browse shelf) C-1 Not For Loan 29123
Text Text EWU Library
Circulation Section
Non-fiction 025.524 INF 2009 (Browse shelf) C-2 Available 29124
Total holds: 0

Includes bibliographical references and index.

Table of contents Foreword. Preface. About the Editors. List of Contributors. Introduction. 1 Information Retrieval Models ( Djoerd Hiemstra). 1.1 Introduction. 1.2 Exact Match Models. 1.3 Vector Space Approaches. 1.4 Probabilistic Approaches. 1.5 Summary and Further Reading. Exercises. References. 2 User-centred Evaluation of Information Retrieval Systems ( Pia Borlund). 2.1 Introduction. 2.2 The MEDLARS Test. 2.3 The Okapi Project. 2.4 The Interactive IR Evaluation Model. 2.5 Summary. Exercises. References. 3 Multimedia Resource Discovery ( Stefan R u ger). 3.1 Introduction. 3.2 Basic Multimedia Search Technologies. 3.3 Challenges of Automated Visual Indexing. 3.4 Added Services. 3.5 Browsing: Lateral and Geotemporal. 3.6 Summary. Exercises. References. 4 Image Users' Needs and Searching Behaviour ( Stina Westman). 4.1 Introduction. 4.2 Image Attributes and Users' Needs. 4.3 Image Searching Behaviour. 4.4 New Directions for Image Access. 4.5 Summary. Exercises. References. 5 Web Information Retrieval ( Nick Craswell and David Hawking). 5.1 Introduction. 5.2 Distinctive Characteristics of the Web. 5.3 Three Ranking Problems. 5.4 Other Web IR Issues. 5.5 Evaluation of Web Search Effectiveness. 5.6 Summary. Exercises. References. 6 Mobile Search ( David Mountain, Hans Myrhaug and Ay s e G o ker). 6.1 Introduction: Mobile Search - Why Now? 6.2 Information for Mobile Search. 6.3 Designing for Mobile Search. 6.4 Case Studies. 6.5 Summary. Exercises. References. 7 Context and Information Retrieval ( Ay s e G o ker, Hans Myrhaug and Ralf Bier). 7.1 Introduction. 7.2 What is Context? 7.3 Context in Information Retrieval. 7.4 Context Modelling and Representation. 7.5 Context and Content. 7.6 Related Topics. 7.7 Evaluating Context-aware IR Systems. 7.8 Summary. Exercises. References. 8 Text Categorisation and Genre in Information Retrieval ( Stuart Watt). 8.1 Introduction: What is Text Categorisation? 8.2 How to Build a Text Categorisation System. 8.3 Evaluating Text Categorisation Systems. 8.4 Genre: Text Structure and Purpose. 8.5 Related Techniques: Information Filtering. 8.6 Applications of Text Categorisation. 8.7 Summary and the Future of Text Categorisation. Exercises. References. 9 Semantic Search ( John Davies, Alistair Duke and Atanas Kiryakov). 9.1 Introduction. 9.2 Semantic Web. 9.3 Metadata and Annotations. 9.4 Semantic Annotations: the Fibres of the Semantic Web. 9.5 Semantic Annotation of Named Entities. 9.6 Semantic Indexing and Retrieval. 9.7 Semantic Search Tools. 9.8 Summary. Exercises. References. 10 The Role of Natural Language Processing in Information Retrieval: Searching for Meaning and Structure ( Tony Russell-Rose and Mark Stevenson). 10.1 Introduction. 10.2 Natural Language Processing Techniques. 10.3 Applications of Natural Language Processing in Information Retrieval. 10.4 Discussion. 10.5 Summary. Exercises. References. 11 Cross-Language Information Retrieval ( Daqing He and Jianqiang Wang). 11.1 Introduction. 11.2 Major Approaches and Challenges in CLIR. 11.3 Identifying Translation Units. 11.4 Obtaining Translation Knowledge. 11.5 Using Translation Knowledge. 11.6 Interactivity in CLIR. 11.7 Evaluation of CLIR Systems. 11.8 Summary and Future Directions. Exercises. References. 12 Performance Issues in Parallel Computing for Information Retrieval (Andrew MacFarlane). 12.1 Introduction. 12.2 Why Parallel IR? 12.3 Review of Previous Work. 12.4 Distribution Methods for Inverted File Data. 12.5 Tasks in Information Retrieval. 12.6 A Synthetic Model of Performance for Parallel Information Retrieval. 12.7 Empirical Examination of Synthetic Model. 12.8 Summary and Further Research. Exercises. References. Solutions to Exercises. Index.

"This book is an essential reference to cutting-edge issues and future directions in information retrieval Information 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

There are no comments for this item.

Log in to your account to post a comment.

Library Home | Contacts | E-journals
Copyright @ 2011-2019 EWU Library
East West University