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Lectures on Information Retrieval

Third European Summer-School, ESSIR 2000 Varenna, Italy, September 11-15, 2000. Revised Lectures

  • Textbook
  • © 2001

Overview

Editors:
  1. Maristella Agosti

    1. Dipartimento di Elettronica e Informatica, Universitá di Padova, Padova

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  2. Fabio Crestani

    1. Department of Computer Science, University of Strathclyde, Glasgow, Scotland,UK

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    You can also search for this editor in PubMed   Google Scholar

  3. Gabriella Pasi

    1. Consiglio Nazionale delle Ricerche, ITIM, Milano, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1980)

Included in the following conference series:

Conference proceedings info: ESSIR 2000.

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Table of contents (12 chapters)

  1. Front Matter

    Pages I-IX
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  2. Getting into Information Retrieval

    • C. J. Keith van Rijsbergen
    Pages 1-20

  3. Models in Information Retrieval

    • Norbert Fuhr
    Pages 21-50

  4. Multilingual Information Access

    • Carol Peters, Páraic Sheridan
    Pages 51-80

  5. Evaluation in Information Retrieval

    • Stephen Robertson
    Pages 81-92

  6. Indexing, Browsing, and Searching of Digital Video and Digital Audio Information

    • Alan F. Smeaton
    Pages 93-110

  7. Retrieval of Still Images by Content

    • John P. Eakins
    Pages 111-138

  8. Digital Libraries and Information Retrieval

    • Ingeborg Torvik Sølvberg
    Pages 139-156

  9. Users in Context

    • Peter Ingwersen
    Pages 157-178

  10. Logic and Uncertainty in Information Retrieval

    • Fabio Crestani, Mounia Lalmas
    Pages 179-206

  11. Modeling Vagueness in Information Retrieval

    • Gloria Bordogna, Gabriella Pasi
    Pages 207-241

  12. Information Retrieval on the Web

    • Maristella Agosti, Massimo Melucci
    Pages 242-285

  13. Information Retrieval and Structured Documents

    • Yves Chiaramella
    Pages 286-309

  14. Back Matter

    Pages 311-311
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Keywords

About this book

Information Retrieval (IR) is concerned with the effective and efficient retrieval of information based on its semantic content. The central problem in IR is the quest to find the set of relevant documents, among a large collection containing the information sought, satisfying a user's information need usually expressed in a natural language query. Documents may be objects or items in any medium: text, image, audio, or indeed a mixture of all three. This book presents 12 revised lectures given at the Third European Summer School in Information Retrieval, ESSIR 2000, held at the Villa Monastero, Varenna, Italy, in September 2000. The first part of the book is devoted to the foundation of IR and related areas; the second part on advanced topics addresses various current issues, from usability aspects to Web searching and browsing.

Editors and Affiliations

  • Dipartimento di Elettronica e Informatica, Universitá di Padova, Padova

    Maristella Agosti

  • Department of Computer Science, University of Strathclyde, Glasgow, Scotland,UK

    Fabio Crestani

  • Consiglio Nazionale delle Ricerche, ITIM, Milano, Italy

    Gabriella Pasi

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