Artificial Intelligence Lab, Department of MIS, 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.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/105791 |
| Date | January 2005 |
| Creators | Leroy, Gondy, Chen, Hsinchun, Martinez, Jesse D., Eggers, Shauna, Falsey, Ryan R., Kislin, Kerri L., Huang, Zan, Li, Jiexun, Xu, Jie, McDonald, Daniel M., Ng, Gavin |
| Publisher | Wiley Periodicals, Inc |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Preprint |
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