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Advancing Translational Research with the Semantic Web

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Ruttenberg A, Clark T, Bug W, Samwald M, Bodenreider O, Chen H, Doherty D, Forsberg K, Gao Y, Kashyap V, Kinoshita J, Luciano J, Marshall MS, Oqbuji C, Rees J, Stephens S, Wong GT, Wu E, Zaccaqnini D, Hongsermeier T, Neumann E, Herman I, Cheung KH
BMC Bioinformatics. 2007 May 9;8 Suppl 3:S2
Abstract: 

A fundamental goal of the U.S. National Institute of Health (NIH) Roadmap is to strengthen Translational Research, defined as the movement of discoveries in basic research to application at the clinical level. A significant barrier to translational research is the lack of uniformly structured data across related biomedical domains. The Semantic Web is an extension of the current Web that enables navigation and meaningful use of digital resources by automatic processes. It is based on common formats that support aggregation and integration of data drawn from diverse sources. A variety of technologies have been built on this foundation that, together, support identifying, representing, and reasoning across a wide range of biomedical data. The Semantic Web Health Care and Life Sciences Interest Group (HCLSIG), set up within the framework of the World Wide Web Consortium, was launched to explore the application of these technologies in a variety of areas. Subgroups focus on making biomedical data available in RDF, working with biomedical ontologies, prototyping clinical decision support systems, working on drug safety and efficacy communication, and supporting disease researchers navigating and annotating the large amount of potentially relevant literature.

Ruttenberg A, Clark T, Bug W, Samwald M, Bodenreider O, Chen H, Doherty D, Forsberg K, Gao Y, Kashyap V, Kinoshita J, Luciano J, Marshall MS, Oqbuji C, Rees J, Stephens S, Wong GT, Wu E, Zaccaqnini D, Hongsermeier T, Neumann E, Herman I, Cheung KH. Advancing Translational Research with the Semantic Web BMC Bioinformatics. 2007 May 9;8 Suppl 3:S2