Skip Navigation

Bioinformatics 2006 22(6):643-644; doi:10.1093/bioinformatics/btl084
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Hahn, U.
Right arrow Articles by Valencia, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hahn, U.
Right arrow Articles by Valencia, A.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Semantic Mining in Biomedicine (Introduction to the papers selected from the SMBM 2005 Symposium, Hinxton, U.K., April 2005)

Udo Hahn and Alfonso Valencia

Jena University, National Center for Biotechnology CNB-CSIC, Madrid (Valencia@cnb.uam.es), (Udo.Hahn@uni-jena.de)

The first 150 words of the full text of this article appear below.

Researchers working in the life sciences domain in the past years have witnessed an enormous growth of literature—for the whole field as well as for their highly specialized areas of expertise. Only small portions of the biomedical knowledge are accessible in a structured way, i.e. through formatted databases. These few pieces of textually encoded knowledge that have gone into databases are, by default, manually extracted from documents and manually inserted into databases after careful curation efforts by highly skilled domain experts. Still, the vast majority of biomedical knowledge captured in texts is not at disposal when biomedical databases are queried.

Life scientists have realized this loss of possibly highly relevant information and devised various forms of support. The weakest one is provided by information retrieval (IR) systems [for a life-science-centred survey; cf. Hersh (2002)]. Given a user-formulated query the terms from this query are appropriately matched with the terms . . . [Full Text of this Article]


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?