A methodology for producing improved focused elements

Authors:
Carolyn J. Crouch;Donald B. Crouch;Dinesh Bhirud;Pavan Poluri;Chaitanya Polumetla;Varun Sudhakar
Affiliations:
Department of Computer Science, University of Minnesota Duluth, Duluth, MN;Department of Computer Science, University of Minnesota Duluth, Duluth, MN;Department of Computer Science, University of Minnesota Duluth, Duluth, MN;Department of Computer Science, University of Minnesota Duluth, Duluth, MN;Department of Computer Science, University of Minnesota Duluth, Duluth, MN;Department of Computer Science, University of Minnesota Duluth, Duluth, MN
Venue:
INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
Year:
2009

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Abstract

This paper reports the results of our experiments to consistently produce highly ranked focused elements in response to the Focused Task of the INEX Ad Hoc Track. The results of these experiments, performed using the 2008 INEX collection, confirm that our current methodology (described herein) produces such elements for this collection. Our goal for 2009 is to apply this methodology to the new, extended 2009 INEX collection to determine its viability in this environment. (These experiments are currently underway.) Our system uses our method for dynamic element retrieval [4], working with the semi-structured text of Wikipedia [5], to produce a rank-ordered list of elements in the context of focused retrieval. It is based on the Vector Space Model [15]; basic functions are performed using the Smart experimental retrieval system [14]. Experimental results are reported for the Focused Task of both the 2008 and 2009 INEX Ad Hoc Tracks.