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Queensland University of Technology at TREC 2005

Woodley, Alan P., Lu, Chengye, Sahama, Tony R., King, John D., & Geva, Shlomo (2005) Queensland University of Technology at TREC 2005. In Fourteenth Text Retrieval Conference, 15-18 November 2005, Gaithersburg, USA.

Abstract

The Information Retrieval and Web Intelligence (IR-WI) research group is a research team at the Faculty of Information Technology, QUT, Brisbane, Australia. The IR-WI group participated in the Terabyte and Robust track at TREC 2005, both for the first time. For the Robust track we applied our existing information retrieval system that was originally designed for use with structured (XML) retrieval to the domain of document retrieval. For the Terabyte track we experimented with an open source IR system, Zettair and performed two types of experiments. First, we compared Zettair’s performance on both a high-powered supercomputer and a distributed system across seven midrange personal computers. Second, we compared Zettair’s performance when a standard TREC title is used, compared with a natural language query, and a query expanded with synonyms. We compare the systems both in terms of efficiency and retrieval performance. Our results indicate that the distributed system is faster than the supercomputer, while slightly decreasing retrieval performance, and that natural language queries also slightly decrease retrieval performance, while our query expansion technique significantly decreased performance.

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ID Code: 3758
Item Type: Conference Paper
Additional URLs:
Keywords: Text Retrieval, TREC, BM25, Terrabyte, Very Large Collections
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: Current > QUT Faculties and Divisions > Division of Technology, Information and Learning Support
Copyright Owner: Copyright 2005 (please consult author)
Deposited On: 28 Mar 2006
Last Modified: 09 Jun 2010 22:31

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