Ranking the whole MEDLINE database according to a large training set using text indexing |
| |
Authors: | Brian?P?Suomela Email author" target="_blank">Miguel?A?AndradeEmail author |
| |
Institution: | (1) Ontario Genomics Innovation Centre, Ottawa Health Research Institute, 501 Smyth Rd, Ottawa, Ontario, K1H 8L6, Canada |
| |
Abstract: | Background The MEDLINE database contains over 12 million references to scientific literature, with about 3/4 of recent articles including
an abstract of the publication. Retrieval of entries using queries with keywords is useful for human users that need to obtain
small selections. However, particular analyses of the literature or database developments may need the complete ranking of
all the references in the MEDLINE database as to their relevance to a topic of interest. This report describes a method that
does this ranking using the differences in word content between MEDLINE entries related to a topic and the whole of MEDLINE,
in a computational time appropriate for an article search query engine. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|