Biomedical Engineering Reference
In-Depth Information
developed so that users can conduct further quantitative data analysis on
entities identifi ed and monitored in TripleMap.
19.9 Conclusions
TripleMap is a next-generation semantic search, knowledge discovery and
collaboration platform. We have provided an instance of TripleMap based
on data from the Linking Open Drug Data sets for free to the biomedical
research community at www.triplemap.com . Organizations can also bring
TripleMap internally for use with proprietary data using the TripleMap
Enterprise platform. This has indeed been the case with a number of
commercial life science companies who are using the technology to
integrate their internal data and documents alongside public content.
TripleMap is built on and extends open standards and semantic technologies
developed primarily by the W3C. These open standards are critically
important for the uptake of solutions based on these standards and the
next-generation data-handling capabilities that they enable. We believe
that the future holds tremendous promise for the derivation of insights
from the vast troves of Big Data available to humanity. Furthermore, we
believe that the design, development, and deployment of software systems
that enable this derivation of insight from Big Data sources is crucial. Our
goal in making the www.triplemap.com instance of TripleMap available
for free to the biomedical research community is to foster collaborative
interaction and discovery in the pursuit of the development of fundamental,
ground-breaking treatments for human diseases.
￿ ￿ ￿ ￿ ￿
19.10 References
[1] http://www.triplemap.com
[2] http://www.w3.org/wiki/HCLSIG/LODD
[3] Gantz BJ, Reinsel D. Extracting Value from Chaos State of the Universe?:
An Executive Summary . 2011;(June):1-12.
[4] Hal R, Varian PL. How Much Information? 2003. Retrieved from http://
www2.sims.berkeley.edu/research/projects/how-much-info-2003/
[5] Hilbert M, López P . The world's technological capacity to store, communicate,
and compute information. Science (New York, N.Y.) 2011;332(6025):60-5.
doi:10.112/science.1200970
[6] Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C. Big
data: The next frontier for innovation, competition, and productivity .
2011;(May).
 
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