000 08322nam a2200529 i 4500
001 8040095
003 IEEE
005 20220712211742.0
006 m o d
007 cr |n|||||||||
008 171024s2008 maua ob 001 eng d
010 _z 2009025912 (print)
020 _a9780470033647
_qelectronic
020 _a0470027622
020 _z9780470027622
_qprint
024 7 _a10.1002/9780470033647
_2doi
035 _a(CaBNVSL)mat08040095
035 _a(IDAMS)0b00006485f0e41c
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aZA3075
_b.I55 2009eb
082 0 0 _a025.5/24
_222
245 0 0 _aInformation retrieval :
_bsearching in the 21st century /
_c[edited by] Ay#se G�eoker, John Davies.
264 1 _aChichester, U.K. :
_bWiley,
_c2009.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2009]
300 _a1 PDF (xxiii, 295 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _aForeword -- 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 RŠuger) -- 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 Aydse GŠoker) -- 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 (Aydse GŠoker, 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?.
505 8 _a8.2 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.
506 _aRestricted to subscribers or individual electronic text purchasers.
520 _a"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 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 21st 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 Retrieval. This 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"--Provided by publisher.
520 _a"The aim of this book is to provide a basis for understanding recent developments in the field and to outline directions for information search technologies. The text presents significant contributions to the research community and industry, covering topics such as the semantic search, natural language processing, parallel information retrieval, image and multimedia retrieval, text categorisation, context technology, cross-language retrieval, and mobile information services. The book is a balanced mixture of theory, practice, tools and applications"--Provided by publisher.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 10/24/2017.
650 0 _aInformation retrieval.
_910134
655 0 _aElectronic books.
_93294
700 1 _aGoker, Ayse.
_930710
700 1 _aDavies, J.
_q(N. John)
_930711
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_930712
710 2 _aWiley,
_epublisher.
_930713
776 0 8 _iPrint version:
_z9780470027622
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8040095
942 _cEBK
999 _c74895
_d74895