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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/1539

Title: Using UMLS-based re-weighting terms as a query expansion strategy
Authors: Zhu, Weizhong
Xu, Xuheng George
Hu, Xiaohua
Song, Il-Yeol
Allen, Robert B.
Keywords: query expansion strategy;pseudo feedback;term re-weighting;UMLS
Issue Date: 2006
Publisher: IEEE Institute of Electrical and Electronics Engineers
Citation: Paper presented at the 2006 IEEE International Conference on Granular Computing, Atlanta, GA.
Abstract: Search engines have significantly improved the efficiency of bio-medical literature searching. These search engines, however, still return many results that are irrelevant to the intention of a user’s query. To improve precision and recall, various query expansion strategies are widely used. In this paper, we explore the three widely used query expansion strategies - local analysis, global analysis, and ontology-based term reweighting across various search engines. Through experiments, we show that ontology-based term re-weighting works best. Term re-weighting reformulates queries with selection of key original query terms and re-weights these key terms and their associated synonyms from UMLS. The results of experiments show that with LUCENE and LEMUR, the average precision is enhanced by up to 20.3% and 12.1%, respectively, compared to baseline runs. We believe the principles of this term re-weighting strategy may be extended and utilized in other bio-medical domains.
URI: http://hdl.handle.net/1860/1539
Appears in Collections:Faculty Research and Publications (IST)

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