Abstract:
:The increase of information in biology makes it difficult for researchers in any field to keep current with the literature. The MEDLINE database of scientific abstracts can be quickly scanned using electronic mechanisms. Potentially interesting abstracts can be selected by matching words joined by Boolean operators. However this means of selecting documents is not optimal. Nonspecific queries have to be effected, resulting in large numbers of irrelevant abstracts that have to be manually scanned To facilitate this analysis, we have developed a system that compiles a summary of subjects and related documents on the results of a MEDLINE query. For this, we have applied a fuzzy binary relation formalism that deduces relations between words present in a set of abstracts preprocessed with a standard grammatical tagger. Those relations are used to derive ensembles of related words and their associated subsets of abstracts. The algorithm can be used publicly at http:// www.bork.embl-heidelberg.de/xplormed/.
journal_name
Biotechniquesjournal_title
BioTechniquesauthors
Perez-Iratxeta C,Keer HS,Bork P,Andrade MAdoi
10.2144/02326bc03subject
Has Abstractpub_date
2002-06-01 00:00:00pages
1380-2, 1384-5issue
6eissn
0736-6205issn
1940-9818journal_volume
32pub_type
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