IR of XML documents: a collective ranking strategy

Authors:
Maha Salem;Alan Woodley;Shlomo Geva
Affiliations:
Faculty of Electrical Engineering, Computer Science and Mathematics, University of Paderborn, Paderborn, Germany;Centre for Information Technology Innovation, Faculty of Information Technology, Queensland University of Technology, Brisbane, Australia;Centre for Information Technology Innovation, Faculty of Information Technology, Queensland University of Technology, Brisbane, Australia
Venue:
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Year:
2004

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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.