Advances in Multidisciplinary Retrieval

First Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010. Proceedings

  • Hamish Cunningham
  • Allan Hanbury
  • Stefan Rüger
Conference proceedings IRFC 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6107)

Table of contents

  1. Front Matter
  2. Hamish Cunningham, Allan Hanbury, Stefan Rüger
    Pages 1-5
  3. M-Dyaa Albakour, Udo Kruschwitz, Simon Lucas
    Pages 6-19
  4. Neil Newbold, Harry McLaughlin, Lee Gillam
    Pages 20-30
  5. Erik Graf, Ingo Frommholz, Mounia Lalmas, Keith van Rijsbergen
    Pages 31-46
  6. Jay Urbain, Ophir Frieder
    Pages 60-69
  7. Mehdi Hosseini, Ingemar J. Cox, Natasa Millic-Frayling, Vishwa Vinay
    Pages 70-83
  8. Alberto Costa, Massimo Melucci
    Pages 84-99
  9. Iraklis Angelos Klampanos, Hengzhi Wu, Thomas Roelleke, Hany Azzam
    Pages 100-119
  10. Bernd Müller, Roman Klinger, Harsha Gurulingappa, Heinz-Theodor Mevissen, Martin Hofmann-Apitius, Juliane Fluck et al.
    Pages 152-165
  11. Back Matter

About these proceedings


These proceedings contain the refereed papers and posters presented at the ?rst Information Retrieval Facility Conference (IRFC), which was held in Vienna on 31 May 2010. The conference provides a multi-disciplinary, scienti?c forum that aims to bring young researchers into contact with industry at an early stage. IRFC 2010 received 20 high-quality submissions, of which 11 were accepted and appear here. The decision whether a paper was presented orally or as poster was solely based on what we thought was the most suitable form of communi- tion, considering we had only a single day for the event. In particular, the form of presentation bears no relation to the quality of the accepted papers, all of which were thoroughly peer reviewed and had to be endorsed by at least three independent reviewers. The Information Retrieval Facility (IRF) is an open IR research institution, managedby a scienti?c board drawnfrom a panel of internationalexperts in the ?eldwhoseroleistopromotethehighestqualityintheresearchsupportedbythe facility. As a non-pro?t research institution, the IRF provides services to IR s- ence in the form of a reference laboratory,hardwareand softwareinfrastructure. Committed to Open Science concepts, the IRF promotes publication of recent scienti?c results and newly developed methods, both in traditional paper form and as data sets freely available to IRF members. Such transparency ensures objective evaluation and comparabilityof results and consequently diversity and sustainability of their further development.


Semantic Web distributed computing information retrieval knowledge knowledge modeling large-scale computing modeling natural language patent search quantum interference wikipedia

Editors and affiliations

  • Hamish Cunningham
    • 1
  • Allan Hanbury
    • 2
  • Stefan Rüger
    • 3
  1. 1.Dept. of Computer ScienceUniversity of SheffieldSheffieldUK
  2. 2.Information Retrieval FacilityViennaAustria
  3. 3.Knowledge Media InstituteThe Open UniversityMilton KeynesUK

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-13083-0
  • Online ISBN 978-3-642-13084-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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