The Community for Technology Leaders
Digital Libraries, Joint Conference on (2003)
Houston, Texas USA
May 27, 2003 to May 31, 2003
ISBN: 0-7695-1939-3
pp: 116
Jie Xu , University of Arizona
Gondy Leroy , University of Arizona
Shauna Eggers , University of Arizona
Daniel M. McDonald , University of Arizona
Jiexun Li , University of Arizona
Gavin Ng , University of Arizona
Hsinchun Chen , University of Arizona
Jesse D. Martinez , University of Arizona
Ryan R. Falsey , University of Arizona
Zan Huang , University of Arizona
Kerri L. Kislin , University of Arizona
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers with research findings and background relations automatically extracted from text and experimental data. These provide a more detailed overview of the information available. The extracted relations were evaluated by qualified researchers and are precise. A qualitative ongoing evaluation of the current online interface indicates that this method to search the literature is more useful and efficient than keyword based searching.
Jie Xu, Gondy Leroy, Shauna Eggers, Daniel M. McDonald, Jiexun Li, Gavin Ng, Hsinchun Chen, Jesse D. Martinez, Ryan R. Falsey, Zan Huang, Kerri L. Kislin, "Genescene: Biomedical Text And Data Mining", Digital Libraries, Joint Conference on, vol. 00, no. , pp. 116, 2003, doi:10.1109/JCDL.2003.1204849
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