EconPapers    
Economics at your fingertips  
 

Literature‐based discovery by lexical statistics

Robert K. Lindsay and Michael D. Gordon

Journal of the American Society for Information Science, 1999, vol. 50, issue 7, 574-587

Abstract: 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.

Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1002/(SICI)1097-4571(1999)50:73.0.CO;2-Q

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:50:y:1999:i:7:p:574-587

Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1097-4571

Access Statistics for this article

More articles in Journal of the American Society for Information Science from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:jamest:v:50:y:1999:i:7:p:574-587