Advances in XML Information Retrieval and Evaluation

4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005, Dagstuhl Castle, Germany, November 28-30, 2005. Revised Selected Papers

  • Norbert Fuhr
  • Mounia Lalmas
  • Saadia Malik
  • Gabriella Kazai
Conference proceedings INEX 2005
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3977)

Table of contents

  1. Front Matter
  2. Saadia Malik, Gabriella Kazai, Mounia Lalmas, Norbert Fuhr
    Pages 1-15
  3. Gabriella Kazai, Mounia Lalmas
    Pages 16-29
  4. Benjamin Piwowarski
    Pages 30-42
  5. Jovan Pehcevski, James A. Thom
    Pages 43-57
  6. Andrew Trotman, Mounia Lalmas
    Pages 58-71
  7. Vojkan Mihajlović, Georgina Ramírez, Thijs Westerveld, Djoerd Hiemstra, Henk Ernst Blok, Arjen P. de Vries
    Pages 72-87
  8. Karen Sauvagnat, Lobna Hlaoua, Mohand Boughanem
    Pages 88-103
  9. Börkur Sigurbjörnsson, Jaap Kamps
    Pages 104-118
  10. Marcus Hassler, Abdelhamid Bouchachia
    Pages 119-133
  11. Paavo Arvola, Jaana Kekäläinen, Marko Junkkari
    Pages 134-145
  12. Roelof van Zwol
    Pages 146-160
  13. Wei Lu, Stephen Robertson, Andrew MacFarlane
    Pages 161-171
  14. Philipp Dopichaj
    Pages 196-210
  15. Shlomo Geva
    Pages 240-253
  16. Kei Fujimoto, Toshiyuki Shimizu, Norimasa Terada, Kenji Hatano, Yu Suzuki, Toshiyuki Amagasa et al.
    Pages 254-267

About these proceedings

Introduction

Content-oriented XML retrieval has been receiving increasing interest due to the widespread use of eXtensible Markup Language (XML), which is becoming a standard document format on the Web, in digital libraries,and publishing. By exploiting the enriched source of syntactic and semantic information that XML markup provides, XML information retrieval (IR) systems aim to implement a more focused retrieval strategy and return document components, so-called XML elements – instead of complete documents – in response to a user query. This focused retrieval approach is of particular bene?t for collections containing long documents or documents covering a wide variety of topics (e.g., books, user manuals, legal documents, etc.), where users’ e?ort to locate relevant content can be reduced by directing them to the most relevant parts of the documents. Implementing this, more focused, retrieval paradigm means that an XML IR system needs not only to ?nd relevant information in the XML documents, but it also has to determine the appropriate level of granularity to be returned to the user. In addition, the relevance of a retrieved component may be dependent on meeting both content and structural query conditions.

Keywords

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

Editors and affiliations

  • Norbert Fuhr
    • 1
  • Mounia Lalmas
    • 2
  • Saadia Malik
    • 3
  • Gabriella Kazai
    • 4
  1. 1.University of Duisburg-EssenDuisburgGermany
  2. 2.Queen Mary, University of LondonLondonUK
  3. 3.University Duisburg-EssenGermany
  4. 4.Microsoft Research CambridgeUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/11766278
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-34962-4
  • Online ISBN 978-3-540-34963-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349