Literature-based discovery by lexical statistics
dc.contributor.author | Lindsay, Robert K. | en_US |
dc.contributor.author | Gordon, Michael D. | en_US |
dc.date.accessioned | 2006-04-19T13:25:20Z | |
dc.date.available | 2006-04-19T13:25:20Z | |
dc.date.issued | 1999 | en_US |
dc.identifier.citation | Lindsay, Robert K.; Gordon, Michael D. (1999)."Literature-based discovery by lexical statistics." Journal of the American Society for Information Science 50(7): 574-587. <http://hdl.handle.net/2027.42/34257> | en_US |
dc.identifier.issn | 0002-8231 | en_US |
dc.identifier.issn | 1097-4571 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/34257 | |
dc.description.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. | en_US |
dc.format.extent | 100537 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | John Wiley & Sons, Inc. | en_US |
dc.subject.other | Computer Science | en_US |
dc.title | Literature-based discovery by lexical statistics | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Mental Health Research Institute, University of Michigan Medical School, 205 Zina Pitcher Place, Ann Arbor, MI 48109 | en_US |
dc.contributor.affiliationum | University of Michigan Business School, 701 Tappan Street, Ann Arbor, MI 48109 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/34257/1/3_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/(SICI)1097-4571(1999)50:7<574::AID-ASI3>3.0.CO;2-Q | en_US |
dc.identifier.source | Journal of the American Society for Information Science | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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