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Data Integration in the Biomedical Informatics Research Network (BIRN)

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Data Integration in the Life Sciences (DILS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 3615))

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Abstract

A goal of the Biomedical Informatics Research Network (BIRN) project sponsored by NCRR/NIH is to develop a multi- institution information management system for Neurosciences, where each participating institution produces a database of their experimental or computationally derived data, and a mediator module performs semantic integration over the databases to enable neuroscientists to perform analyses that could not be executed from any single institution’s data. This demonstration paper briefly describes the current capabilities of Metropolis-II, the information integration system for BIRN.

This work is supported by NIH BIRN-CC Award No. 8P41 RR08605-08S1, NIH Human Brain Project Award No. 5RO1DC03192.

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References

  1. Ludäscher, B., Gupta, A., Martone, M.E.: Model-based mediation with domain maps. In: Proc. 17th Int. Conf. on Data Engineering (ICDE), Washington, DC, USA, pp. 81–90. IEEE Comp. Soc, Los Alamitos (2001)

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  2. Gupta, A., Ludäscher, B., Martone, M.E.: Registering scientific information sources for semantic mediation. In: Spaccapietra, S., March, S.T., Kambayashi, Y. (eds.) ER 2002. LNCS, vol. 2503, pp. 182–198. Springer, Heidelberg (2002)

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  3. Gupta, A., Ludäscher, B., Martone, M.E.: Knowledge-based integration of neuroscience data sources. In: Proc. 12th Int. Conf. on Scientific and Statistical Database Management (SSDBM 2000), Washington, DC, USA, pp. 39–52. IEEE Comp. Soc, Los Alamitos (2000)

    Chapter  Google Scholar 

  4. Zaniolo, C., Arni, N., Ong, K.: Negation and aggregates in recursive rules: the ldl++ approach. In: Ceri, S., Tsur, S., Tanaka, K. (eds.) DOOD 1993. LNCS, vol. 760, pp. 204–221. Springer, Heidelberg (1993)

    Google Scholar 

  5. Santini, S.: Metropolis MkIII: Prolegomena to design. Technical Report 04-04, Dept. of Neurosciences, Univ. of California San Diego (2004)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Astakhov, V., Gupta, A., Santini, S., Grethe, J.S. (2005). Data Integration in the Biomedical Informatics Research Network (BIRN). In: Ludäscher, B., Raschid, L. (eds) Data Integration in the Life Sciences. DILS 2005. Lecture Notes in Computer Science(), vol 3615. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11530084_31

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  • DOI: https://doi.org/10.1007/11530084_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27967-9

  • Online ISBN: 978-3-540-31879-8

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