IR of XML Documents – A Collective Ranking Strategy

  • Maha Salem
  • Alan Woodley
  • Shlomo Geva
Conference paper

DOI: 10.1007/11424550_10

Volume 3493 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Salem M., Woodley A., Geva S. (2005) IR of XML Documents – A Collective Ranking Strategy. In: Fuhr N., Lalmas M., Malik S., Szlávik Z. (eds) Advances in XML Information Retrieval. INEX 2004. Lecture Notes in Computer Science, vol 3493. Springer, Berlin, Heidelberg

Abstract

Within the area of Information Retrieval (IR) the importance of appropriate ranking of results has increased markedly. The importance is magnified in the case of systems dedicated to XML retrieval, since users of these systems expect the retrieval of highly relevant and highly precise components, instead of the retrieval of entire documents. As an international, coordinated effort to evaluate the performance of Information Retrieval systems, the Initiative for the Evaluation of XML Retrieval (INEX) encourages participating organisation to run queries on their search engines and to submit their result for the annual INEX workshop. In previous INEX workshops the submitted results were manually assessed by participants and the search engines were ranked in terms of performance. This paper presents a Collective Ranking Strategy that outperforms all search engines it is based on. Moreover it provides a system that is trying to facilitate the ranking of participating search engines.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Maha Salem
    • 1
  • Alan Woodley
    • 2
  • Shlomo Geva
    • 2
  1. 1.Faculty of Electrical Engineering, Computer Science and MathematicsUniversity of PaderbornPaderbornGermany
  2. 2.Centre for Information Technology Innovation, Faculty of Information TechnologyQueensland University of TechnologyBrisbaneAustralia