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IR of XML documents – A collective Ranking Strategy

Salem, Maha, Woodley, Alan P., & Geva, Shlomo (2005) IR of XML documents – A collective Ranking Strategy. In Fuhr, Norbert, Lalmas, Mounia, Malik, Saadia, & Szlavik, Zoltan (Eds.) Advances in XML Information Retrieval Lecture Notes in Computer Science, Volume 3493, Springer, Dagstuhl Castle, Germany, pp. 113-126.

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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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ID Code: 3833
Item Type: Conference Paper
Keywords: INEX, Metasearch, XML, Information Retrieval, Search Engines
DOI: 10.1007/11424550_10
ISSN: 1611-3349
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2005 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/ Lecture Notes in Computer Science
Deposited On: 11 Apr 2006
Last Modified: 29 Feb 2012 23:15

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