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Reengineering Of Mesh Thesauri For Term Selection To Optimize Literature Retrieval And Knowledge Reconstruction In Support Of Stem Cell Research, Yan Su, James E. Andrews, Hong Huang, Yue Wang, Liangliang Kong, Peter Cannon, Ping Xu
Reengineering Of Mesh Thesauri For Term Selection To Optimize Literature Retrieval And Knowledge Reconstruction In Support Of Stem Cell Research, Yan Su, James E. Andrews, Hong Huang, Yue Wang, Liangliang Kong, Peter Cannon, Ping Xu
School of Information Faculty Publications
BACKGROUND: PubMed is a widely used database for scientists to find biomedical-related literature. Due to the complexity of the selected research subject and its interdisciplinary nature, as well as the exponential growth in the number of disparate pieces of biomedical literature, it is an overwhelming challenge for scientists to define the right search strategies and quickly locate all related information. Specialized subsets and groupings of controlled vocabularies, such as Medical Subject Headings (MeSH), can enhance information retrieval in specialized domains, such as stem cell research. There is a need to develop effective search strategies and convenient solutions for knowledge organization …