Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Web Server issue
pubmed:dateCreated
2009-6-30
pubmed:abstractText
The biomedical literature is represented by millions of abstracts available in the Medline database. These abstracts can be queried with the PubMed interface, which provides a keyword-based Boolean search engine. This approach shows limitations in the retrieval of abstracts related to very specific topics, as it is difficult for a non-expert user to find all of the most relevant keywords related to a biomedical topic. Additionally, when searching for more general topics, the same approach may return hundreds of unranked references. To address these issues, text mining tools have been developed to help scientists focus on relevant abstracts. We have implemented the MedlineRanker webserver, which allows a flexible ranking of Medline for a topic of interest without expert knowledge. Given some abstracts related to a topic, the program deduces automatically the most discriminative words in comparison to a random selection. These words are used to score other abstracts, including those from not yet annotated recent publications, which can be then ranked by relevance. We show that our tool can be highly accurate and that it is able to process millions of abstracts in a practical amount of time. MedlineRanker is free for use and is available at http://cbdm.mdc-berlin.de/tools/medlineranker.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-11551795, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-14681454, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-15760470, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-15790421, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-15980583, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-15980585, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-16900125, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-16926219, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-16996316, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-17135203, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-17214888, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-17971238, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-18284683, http://linkedlifedata.com/resource/pubmed/commentcorrection/19429696-18988627
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1362-4962
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
37
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
W141-6
pubmed:dateRevised
2011-8-24
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
MedlineRanker: flexible ranking of biomedical literature.
pubmed:affiliation
Computational Biology and Data Mining Group, Max Delbrück Center for Molecular Medicine, Robert-Rössle-Strasse. 10, D-13125, Berlin, Germany. jean-fred.fontaine@mdc-berlin.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't