IR of XML Documents – A Collective Ranking Strategy

Salem, Maha, Woodley, Alan and Geva, Shlomo (2004). IR of XML Documents – A Collective Ranking Strategy. In: LNCS: Advances in XML Information Retrieval: Third International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2004, Dagstuhl Castle, Germany, December 6-8, 2004, Revised Selected Papers. Third International Workshop of the Initiative for the Evaluation of XML retrieval, Dagstuhl Castle, Germany, (113-126). December 6-8 2004. doi:10.1007/11424550_10


Author Salem, Maha
Woodley, Alan
Geva, Shlomo
Title of paper IR of XML Documents – A Collective Ranking Strategy
Conference name Third International Workshop of the Initiative for the Evaluation of XML retrieval
Conference location Dagstuhl Castle, Germany
Conference dates December 6-8 2004
Proceedings title LNCS: Advances in XML Information Retrieval: Third International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2004, Dagstuhl Castle, Germany, December 6-8, 2004, Revised Selected Papers   Check publisher's open access policy
Place of Publication Berlin :New York
Publisher Springer Berlin / Heidelberg
Publication Year 2004
Sub-type Fully published paper
DOI 10.1007/11424550_10
ISBN 978-3-540-26166-7
ISSN 0302-9743
1611-3349
Volume 3493
Start page 113
End page 126
Total pages 14
Language eng
Abstract/Summary 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.
Subjects 080704 Information Retrieval and Web Search
Keyword Information Retrieval and Web Search
XML Information Retrieval
Q-Index Code E1

 
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Created: Wed, 04 Feb 2009, 16:11:42 EST by Marianne Steentsma on behalf of Sustainable Minerals Institute