• DocumentCode
    2152778
  • Title

    Semantically Based Data Integration Environment for Biomedical Research

  • Author

    Astakhov, Vadim ; Gupta, Amarnath ; Grethe, Jeffrey S. ; Ross, Edward ; Little, David ; Yilmaz, Aylin ; Qian, Xufei ; Santini, Simone ; Martone, Maryann ; Ellisman, Mark

  • Author_Institution
    BIRN Coordinating Center, California San Diego Univ., La Jolla, CA
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    171
  • Lastpage
    176
  • Abstract
    This paper presents an overview of the data integration mediation system developed as part of the Biomedical Informatics Research Network (BIRN; http://www.nbirn.net) project. BIRN is sponsored by the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH). A core BIRN goal is the development of a multi-institution information management system to support biomedical research. Each participating institution maintains a database of their experimental or computationally derived data, and the data integration system performs semantic integration over the databases to enable researchers to perform analyses based on larger and broader datasets than would be available from any single institution´s data. This demonstration paper describes architecture, implementation, and capabilities of the semantically based data integration system for BIRN
  • Keywords
    database management systems; information management; medical information systems; Biomedical Informatics Research Network; data integration mediation system; multi-institution information management system; semantic integration; Alzheimer´s disease; Animals; Biomedical computing; Biomedical informatics; Brain modeling; Collaborative software; Databases; Distributed computing; Magnetic resonance imaging; Parkinson´s disease;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-2517-1
  • Type

    conf

  • DOI
    10.1109/CBMS.2006.143
  • Filename
    1647564