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Distributed Multimedia Information Retrieval

SIGIR 2003 Workshop on Distributed Information Retrieval, Toronto, Canada, August 1, 2003, Revised Selected and Invited Papers

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Jamie Callan

    1. Language Technologies Institute, Carnegie Mellon University, Pittsburgh, USA

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  2. Fabio Crestani

    1. Department of Computer and Information Science, University of Strathclyde, Scotland

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    You can also search for this editor in PubMed   Google Scholar

  3. Mark Sanderson

    1. Department of Information Studies, University of Sheffield, Sheffield, UK

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2924)

Included in the following conference series:

Conference proceedings info: DIR 2003.

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Table of contents (12 papers)

  1. Front Matter

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  2. Resource Discovery

    1. Harvesting: Broadening the Field of Distributed Information Retrieval

      • Edward A. Fox, Marcos A. Gonçalves, Ming Luo, Yuxin Chen, Aaron Krowne, Baoping Zhang et al.
      Pages 1-20

    2. Using Query Probing to Identify Query Language Features on the Web

      • André Bergholz, Boris Chidlovskii
      Pages 21-30

  3. Resource Selection

    1. The Effect of Database Size Distribution on Resource Selection Algorithms

      • Luo Si, Jamie Callan
      Pages 31-42

    2. Decision-Theoretic Resource Selection for Different Data Types in MIND

      • Henrik Nottelmann, Norbert Fuhr
      Pages 43-57

    3. Distributed Web Search as a Stochastic Game

      • Rinat Khoussainov, Nicholas Kushmerick
      Pages 58-69

  4. Data Fusion

    1. Collection Fusion for Distributed Image Retrieval

      • S. Berretti, A. Del Bimbo, P. Pala
      Pages 70-83

    2. New Methods of Results Merging for Distributed Information Retrieval

      • Shengli Wu, Fabio Crestani, Forbes Gibb
      Pages 84-100

    3. Recent Results on Fusion of Effective Retrieval Strategies in the Same Information Retrieval System

      • Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury, David Grossman, Nazli Goharian, Ophir Frieder
      Pages 101-111

  5. Architectures

    1. The MIND Architecture for Heterogeneous Multimedia Federated Digital Libraries

      • Henrik Nottelmann, Norbert Fuhr
      Pages 112-125

    2. Apoidea: A Decentralized Peer-to-Peer Architecture for Crawling the World Wide Web

      • Aameek Singh, Mudhakar Srivatsa, Ling Liu, Todd Miller
      Pages 126-142

    3. Towards Virtual Knowledge Communities in Peer-to-Peer Networks

      • Melanie Gnasa, Sascha Alda, Jasmin Grigull, Armin B. Cremers
      Pages 143-155

    4. The Personalized, Collaborative Digital Library Environment CYCLADES and Its Collections Management

      • Leonardo Candela, Umberto Straccia
      Pages 156-172

  6. Back Matter

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Other volumes

  1. Distributed Multimedia Information Retrieval

Keywords

About this book

During recent years, huge efforts have been made to establish digital libraries, in a variety of media, offered from a variety of sources, and intended for a variety of professional and private user communities. As digital data collections proliferate, problems of resource selection and data fusion become major issues. Traditional search engines, even the best ones, are unable to provide access to the hidden web of information that is only available via digital library search interfaces.

Originating from the SIGIR 2003 Workshop on Distributed Information Retrieval, held in Toronto, Canada in August 2003, this book presents extended and revised workshop papers as well as several invited papers on the topic to round off coverage of the core issues. The papers are devoted to recent research on the design and implementation of methods and tools for resource discovery, resource description, resource selection, data fusion, and user interaction.

Editors and Affiliations

  • Language Technologies Institute, Carnegie Mellon University, Pittsburgh, USA

    Jamie Callan

  • Department of Computer and Information Science, University of Strathclyde, Scotland

    Fabio Crestani

  • Department of Information Studies, University of Sheffield, Sheffield, UK

    Mark Sanderson

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