Advances in XML Information Retrieval

1. Front Matter

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2. Overview of INEX 2004

   1. Overview of INEX 2004

      • Saadia Malik, Mounia Lalmas, Norbert Fuhr

      Pages 1-15

3. Methodology

   1. Narrowed Extended XPath I (NEXI)

      • Andrew Trotman, Börkur Sigurbjörnsson

      Pages 16-40

   2. NEXI, Now and Next

      • Andrew Trotman, Börkur Sigurbjörnsson

      Pages 41-53

   3. If INEX Is the Answer, What Is the Question?

      • Richard A. O’Keefe

      Pages 54-59

   4. Reliability Tests for the XCG and inex-2002 Metrics

      • Gabriella Kazai, Mounia Lalmas, Arjen de Vries

      Pages 60-72

4. Ad Hoc Retrieval

   1. Component Ranking and Automatic Query Refinement for XML Retrieval

      • Yosi Mass, Matan Mandelbrod

      Pages 73-84

   2. MultiText Experiments for INEX 2004

      • Charles L. A. Clarke, Philip L. Tilker

      Pages 85-87

   3. Logic-Based XML Information Retrieval for Determining the Best Element to Retrieve

      • Maryam Karimzadegan, Jafar Habibi, Farhad Oroumchian

      Pages 88-99

   4. An Algebra for Structured Queries in Bayesian Networks

      • Jean-Noël Vittaut, Benjamin Piwowarski, Patrick Gallinari

      Pages 100-112

   5. IR of XML Documents – A Collective Ranking Strategy

      • Maha Salem, Alan Woodley, Shlomo Geva

      Pages 113-126

   6. TRIX 2004 – Struggling with the Overlap

      • Jaana Kekäläinen, Marko Junkkari, Paavo Arvola, Timo Aalto

      Pages 127-139

   7. The Utrecht Blend: Basic Ingredients for an XML Retrieval System

      • Roelof van Zwol, Frans Wiering, Virginia Dignum

      Pages 140-152

   8. Hybrid XML Retrieval Revisited

      • Jovan Pehcevski, James A. Thom, S. M. M. Tahaghoghi, Anne-Marie Vercoustre

      Pages 153-167

   9. Analyzing the Properties of XML Fragments Decomposed from the INEX Document Collection

      • Kenji Hatano, Hiroko Kinutani, Toshiyuki Amagasa, Yasuhiro Mori, Masatoshi Yoshikawa, Shunsuke Uemura

      Pages 168-182

   10. A Voting Method for XML Retrieval

       • Gilles Hubert

       Pages 183-195

   11. Mixture Models, Overlap, and Structural Hints in XML Element Retrieval

       • Börkur Sigurbjörnsson, Jaap Kamps, Maarten de Rijke

       Pages 196-210

   12. GPX – Gardens Point XML Information Retrieval at INEX 2004

       • Shlomo Geva

       Pages 211-223

   13. Hierarchical Language Models for XML Component Retrieval

       • Paul Ogilvie, Jamie Callan

       Pages 224-237

   14. Ranked Retrieval of Structured Documents with the S-Term Vector Space Model

       • Felix Weigel, Klaus U. Schulz, Holger Meuss

       Pages 238-252

The ultimate goal of many information access systems (e.g., digital libraries, the Web, intranets) is to provide the right content to their end-users. This content is increasingly a mixture of text, multimedia, and metadata, and is formatted according to the adopted –W3C standard for information repositories, the so-called eXtensible Markup L- guage (XML). Whereas many of today’s information access systems still treat do- ments as single large (text) blocks, XML offers the opportunity to exploit the internal structure of documents in order to allow for more precise access thus providing more specific answers to user requests. Providing effective access to XML-based content is therefore a key issue for the success of these systems. The aim of the INEX campaign (Initiative for the Evaluation of XML Retrieval), which was set up at the beginning of 2002, is to establish infrastructures, XML test suites, and appropriate measurements for evaluating the performance of information retrieval systems that aim at giving effective access to XML content. More precisely, the goal of the INEX initiative is to provide means, in the form of a large XML test collection and appropriate scoring methods, for the evaluation of content-oriented XML retrieval systems.

• Extensible Markup Language (XML)
• digital libraries
• information retrieval
• interactive xml information retrieval
• metadata
• multimedia
• natural language processing
• query processing
• xml
• xml data retrieval
• xml retrieval relevance ranking

• University of Duisburg-Essen, Duisburg, Germany

  Norbert Fuhr

• Queen Mary, University of London, London, UK

  Mounia Lalmas

• University Duisburg-Essen, Germany

  Saadia Malik

• Computer and Automation Research Institute, Hungarian Academy of Sciences, Budapest, Hungary

  Zoltán Szlávik

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