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GEM: The GAAIN Entity Mapper

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Data Integration in the Life Sciences (DILS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 9162))

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Abstract

We present a software system solution that significantly simplifies data sharing of medical data. This system, called GEM (for the GAAIN Entity Mapper), harmonizes medical data. Harmonization is the process of unifying information across multiple disparate datasets needed to share and aggregate medical data. Specifically, our system automates the task of finding corresponding elements across different independently created (medical) datasets of related data. We present our overall approach, detailed technical architecture, and experimental evaluations demonstrating the effectiveness of our approach.

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Notes

  1. 1.

    http://www.gaain.org.

  2. 2.

    http://schemaspy.sourceforge.net.

  3. 3.

    http://www.altova.com.

  4. 4.

    http://www.talend.com.

  5. 5.

    http://www.informatica.com.

  6. 6.

    http://openii.sourceforge.net.

  7. 7.

    http://www.isi.edu/integration/karma/.

  8. 8.

    http://www.cihr-irsc.gc.ca.

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Author information

Authors and Affiliations

  1. Laboratory of NeuroImaging, Keck School of Medicine of USC, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, 2001 N Soto Street, Los Angeles, USA

    Naveen Ashish, Peehoo Dewan & Arthur W. Toga

  2. Information Sciences Institute, University of Southern California, 4676 Admiralty Way, Marina del Rey, Los Angeles, CA, 90292, USA

    Jose-Luis Ambite

Authors
  1. Naveen Ashish
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  2. Peehoo Dewan
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  3. Jose-Luis Ambite
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  4. Arthur W. Toga
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Corresponding author

Correspondence to Naveen Ashish .

Editor information

Editors and Affiliations

  1. USC Stevens Neuroimaging and Informatics Institute, Los Angeles, California, USA

    Naveen Ashish

  2. USC Information Sciences Institute, Marina del Rey, California, USA

    Jose-Luis Ambite

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Ashish, N., Dewan, P., Ambite, JL., Toga, A.W. (2015). GEM: The GAAIN Entity Mapper. In: Ashish, N., Ambite, JL. (eds) Data Integration in the Life Sciences. DILS 2015. Lecture Notes in Computer Science(), vol 9162. Springer, Cham. https://doi.org/10.1007/978-3-319-21843-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-21843-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21842-7

  • Online ISBN: 978-3-319-21843-4

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