Literature-based discovery by lexical statistics

被引：1
|
作者：
Lindsay, RK
Gordon, MD
机构：
[1] Univ Michigan, Mental Hlth Res Inst, Sch Med, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Sch Business, Ann Arbor, MI 48109 USA
来源：
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE | 1999年 / 50卷 / 07期
关键词：
D O I：
10.1002/(SICI)1097-4571(1999)50:7<574::AID-ASI3>3.0.CO;2-Q
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We report experiments that use lexical statistics, such as word frequency counts, to discover hidden connections in the medical literature. Hidden connections are those that are unlikely to be found by examination of bibliographic citations or the use of standard indexing methods and yet establish a relationship between topics that might profitably be explored by scientific research. Our experiments were conducted with the MEDLINE medical literature database and follow and extend the work of Swanson.
引用
收藏
页码：574 / 587
页数：14
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