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The Scientific World Journal
Volume 2014 (2014), Article ID 132158, 10 pages
http://dx.doi.org/10.1155/2014/132158
Research Article

Study of Query Expansion Techniques and Their Application in the Biomedical Information Retrieval

Department of Computer Science, Higher Technical School of Computer Engineering, University of Vigo, 32004 Ourense, Spain

Received 31 August 2013; Accepted 15 December 2013; Published 2 March 2014

Academic Editors: G. Lu and J. Tang

Copyright © 2014 A. R. Rivas et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Bo Xu, Ahmed AbdoAziz Ahmed Abdulla, Hongfei Lin, and Santosh Kumar Banbhrani, “Improving biomedical information retrieval by linear combinations of different query expansion techniques,” BMC Bioinformatics, vol. 17, 2016. View at Publisher · View at Google Scholar
  • Jiaping Zheng, and Hong Yu, “Methods for linking EHR notes to education materials,” Information Retrieval, vol. 19, no. 1-2, pp. 174–188, 2016. View at Publisher · View at Google Scholar
  • Zi Chen, and Samsung Lim, “Collecting Typhoon Disaster Information from Twitter Based on Query Expansion,” ISPRS International Journal of Geo-Information, vol. 7, no. 4, pp. 139, 2018. View at Publisher · View at Google Scholar
  • Xianwen Zhang, Yin Zhang, Lijun Liu, Li Liu, Xiaodong Fu, and Qingsong Huang, “A cloud-based framework for large-scale traditional Chinese medical record retrieval,” Journal of Biomedical Informatics, vol. 77, pp. 21–33, 2018. View at Publisher · View at Google Scholar