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Briefings in Bioinformatics 2009 10(2):111-113; doi:10.1093/bib/bbp015
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© The Author 2009. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

Semantic Web for Health Care and Life Sciences: a review of the state of the art

The first 10% of the full text of this article appears below.

Biomedical researchers need to be able to ask questions that span many heterogeneous data sources in order to make well-informed decisions that may lead to important scientific breakthroughs. For this to be achieved, diverse types of data about drugs, patients, diseases, proteins, cells, pathways and so on must be effectively integrated. Yet, linking disparate biomedical data continues to be a challenge due to inconsistency in naming and heterogeneity in data models and formats.

Many organizations are now exploring the use of Semantic Web technologies in the hope of easing the cost of data integration [1]. The benefits promised by the Semantic Web . . . [Full Text of this Article]

LOOKING TO THE FUTURE

FUNDING

Kei-Hoi Cheung1, Eric Prud’hommeaux2, Yimin Wang3 and Susie Stephens4
1Center for Medical Informatics, Yale University School of
Medicine, New Haven, CT, USA
2World Wide Web Consortium, Cambridge, MA, USA
3Lilly Singapore Centre for Drug Discovery, Singapore and
4Discovery IT, Eli Lilly, Indianapolis, IN, USA


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