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Ontology Graph Based Query Expansion for Biomedical Information Retrieval

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3 Author(s)
Liang Dong ; Sch. of Comput., Clemson Univ., Clemson, SC, USA ; Srimani, P.K. ; Wang, J.Z.

Query expansion based biomedical information retrieval has been studied for over two decades; most of the studies focus only on taking advantage of one vocabulary: MeSH. We propose a completely different approach utilizing an arbitrary number of controlled vocabularies from Metathesaurus. Experiment shows that our ontology based query expansion scheme achieves 8.2% and 17.7% improvement compared with schemes using pseudo relevance feedback query expansion and using no query expansion respectively. The average improvement is 24.8% in comparison to all other existing strategies. Furthermore, we identify that generalized biomedical concepts are the reason for performance degradation.

Published in:

Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on

Date of Conference:

12-15 Nov. 2011

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