Genescene: Biomedical text and data mining

被引：0

作者：

Leroy, G ^{[1
]}

Chen, H ^{[1
]}

Martinez, JD ^{[1
]}

Eggers, S ^{[1
]}

Falsey, RR ^{[1
]}

Kislin, KL ^{[1
]}

Huang, Z ^{[1
]}

Li, JX ^{[1
]}

Xu, J ^{[1
]}

McDonald, DM ^{[1
]}

Ng, G ^{[1
]}

机构：

[1] Univ Arizona, Tucson, AZ 85721 USA

来源：

2003 JOINT CONFERENCE ON DIGITAL LIBRARIES, PROCEEDINGS | 2003年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：116 / 118

页数：3

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