Conference presentation
Using UMLS-based re-weighting terms as a query expansion strategy
Drexel University. College of Information Science and Technology. Faculty Publications and Research.
17 May 2007
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.
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Details
- Title
- Using UMLS-based re-weighting terms as a query expansion strategy
- Creators
- Weizhong Zhu (Author) - Drexel University (1970-)Xuheng George Xu (Author) - Drexel University (1970-)Xiaohua Hu 1960- (Author) - Drexel University (1970-)Il-Yeol Song (Author) - Drexel University (1970-)Robert B. Allen (Author) - Drexel University (1970-)
- Publication Details
- Drexel University. College of Information Science and Technology. Faculty Publications and Research.
- Resource Type
- Conference presentation
- Language
- English
- Academic Unit
- DU; College of Information Science and Technology (1995-2013)
- Identifiers
- 991014632073404721