• DocumentCode
    2195249
  • Title

    Integration of Avian Influenza Virus Information Sources for Korea e-Science

  • Author

    Kang, WooLam ; Choi, Dong-Hoon ; Suh, Young-Kyun ; Lee, Yoon-Joon

  • Author_Institution
    Dept. of Comput. Sci., KAIST, Daejeon
  • fYear
    2008
  • fDate
    7-12 Dec. 2008
  • Firstpage
    372
  • Lastpage
    373
  • Abstract
    There are multiple data sources storing avian influenza virus information in Korea. Research on AI requires scientists to collect, integrate, share and analyze AI virus information from the data sources. Since the sources are heterogeneous, autonomously created and maintained by different institutions, it is very difficult for AI researchers to search their data sets from the sources. In this paper, we propose a mediator-based data integration system, which integrates such multiple heterogeneous AI virus information sources. Mediation approach to integrating the sources requires scientists to define the semantic mapping among them. Most AI researchers do not have enough knowledge on the sources to define the mapping. To alleviate their efforts, AVIS provides a visual administration tool to browse schema of data sources and easily define the semantic mapping for data integration. It also provides Web-based graphical interface to easily access and share data from multiple heterogeneous AI virus information sources.
  • Keywords
    diseases; graphical user interfaces; medical computing; Korea e-science; Web-based graphical interface; avian influenza virus information sources; data sources; mediator-based data integration system; semantic mapping; visual administration tool; Asia; Collaboration; Computer science; Data mining; Government; Humans; Influenza; Information analysis; Information management; Mediation; AI virus; data integration; mediator; semantic mapping; wrapper;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    eScience, 2008. eScience '08. IEEE Fourth International Conference on
  • Conference_Location
    Indianapolis, IN
  • Print_ISBN
    978-1-4244-3380-3
  • Electronic_ISBN
    978-0-7695-3535-7
  • Type

    conf

  • DOI
    10.1109/eScience.2008.119
  • Filename
    4736802