Using Tag-Neighbors for Query Expansion in Medical Information Retrieval

Frederico Durao, Karunakar Reddy Bayyapu, Guandong Xu, Peter Dolog, Ricardo Lage

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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.
Original languageEnglish
Title of host publication2011 International Conference on Information Science and Applications (ICISA)
Number of pages9
PublisherIEEE
Publication date2011
ISBN (Print)978-1-4244-9222-0
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 International Conference on Information Science and Applications (ICISA) - Jeju Island, Korea, Republic of
Duration: 26 Apr 201129 Apr 2011
http://global.kcis.kr/ICISA2011/Homepage/

Conference

Conference2011 International Conference on Information Science and Applications (ICISA)
CountryKorea, Republic of
CityJeju Island
Period26/04/201129/04/2011
Internet address

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