Language models for XML element retrieval

Authors:
Rongmei Li;Theo Van Der Weide
Affiliations:
University of Twente, Enschede, The Netherlands;Radboud University, Nijmegen, The Netherlands
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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Extended language models for XML element retrieval

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Abstract

In this paper we describe our participation in the INEX 2009 ad-hoc track. We participated in all four retrieval tasks (thorough, focused, relevant-in-context, best-in-context) and report initial findings based on a single set of measure for all tasks. In this first participation, we test two ideas: (1) evaluate the performance of standard IR engines used in full document retrieval and XML element retrieval; (2) investigate if document structure can lead to more accurate and focused retrieval result. We find: 1) the full document retrieval outperforms the XML element retrieval using language model based on Dirichlet priors; 2) the element relevance score itself can be used to remove overlapping element results effectively.