• DocumentCode
    649710
  • Title

    RUBA: Real-time unstructured big data analysis framework

  • Author

    Jaein Kim ; Nacwoo Kim ; ByungTak Lee ; Joonho Park ; Kwangik Seo ; Hunyoung Park

  • Author_Institution
    Honam Res. Center, ETRI, Gwangju, South Korea
  • fYear
    2013
  • fDate
    14-16 Oct. 2013
  • Firstpage
    518
  • Lastpage
    522
  • Abstract
    We are greeting “Big Data Generation”. As ICT technology is developing, the volume of data is incredibly growing and many works to deal with a big data are underway. In this paper, we proposed a novel framework for real-time unstructured big data analysis, such as a movie, sound, text and image data. Our proposed framework provides functions of a real-time analysis and dynamic modification for unstructured big data analysis. We have implemented the object monitoring system as a test system which is applied our framework, and we have confirmed each functions and the availability of our framework.
  • Keywords
    data analysis; ICT technology; RUBA framework; big data generation; data volume; image data; information and communication technology; movie data; object monitoring system; realtime unstructured big data analysis framework; sound data; text data; Big Data; CEP; CQL; Real-time System; Unstructured Data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICT Convergence (ICTC), 2013 International Conference on
  • Conference_Location
    Jeju
  • Type

    conf

  • DOI
    10.1109/ICTC.2013.6675410
  • Filename
    6675410