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Using Tag-Neighbors for Query Expansion in Medical Information Retrieval

Durao, Frederico, Bayyapu, Karunakar, Xu, Guandong, Dolog, Peter and Lage, Ricardo (2011) Using Tag-Neighbors for Query Expansion in Medical Information Retrieval. In: 2011 International Conference on Information Science and Applications (ICISA 2011). IEEE, United States, pp. 1-9.

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Abstract

In the context of medical document retrieval, users often under-specified queries lead to undesired search results that suffer from not containing the information they seek, inadequate domain knowledge matches and unreliable sources. To overcome the limitations of under-specified queries, we utilize tags to enhance information retrieval capabilities by expanding users' original queries with context-relevant information. We compute a set of significant tag neighbor candidates based on the neighbor frequency and weight, and utilize the most frequent and weighted neighbors to expand an entry query that has terms matching tags. The proposed approach is evaluated using MedWorm medical article collection and standard evaluation methods from the text retrieval conference (TREC). We compared the baseline of 0.353 for Mean Average Precision (MAP), reaching a MAP 0.491 (+39%) with the query expansion. In-depth analysis shows how this strategy is beneficial when compared with different ranks of the retrieval results.

Item Type: Book Section
ISBN: 9781424492220 (print) 9781424492237 (online)
Additional Information:

Proceedings of a meeting held 26-29 April 2011, Jeju Island, South Korea

Uncontrolled Keywords: ResPubID23632, identification technology, medical information systems, query processing, text analysis
Subjects: Faculty/School/Research Centre/Department > Centre for Applied Informatics
FOR Classification > 0806 Information Systems
SEO Classification > 8902 Computer Software and Services
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Depositing User: VUIR
Date Deposited: 21 Jun 2013 03:04
Last Modified: 21 Jun 2013 03:04
URI: http://vuir.vu.edu.au/id/eprint/9609
DOI: https://doi.org/10.1109/ICISA.2011.5772324
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Citations in Scopus: 4 - View on Scopus

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