• DocumentCode
    152404
  • Title

    A schema matching approach for structured data fusion

  • Author

    Dursun, B. ; Obali, M.

  • Author_Institution
    Bilicim Mudurlugu, Tubitak, Ankara, Turkey
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    682
  • Lastpage
    685
  • Abstract
    Joint picture and fusion of data that is acquired from different data sources is a complex and difficult process. One of the basic approaches in data fusion or data integration is schema matching. In contrast doing schema matching manually in many applications, it takes long time and many matching elements and situations are missed. It is very important to make schema matching automatically, since many systems can be fused and joint picture can be constructed right and fast. In this study, we propose a schema matching approach on structured data and we applied this approach on databases of an enterprise.
  • Keywords
    data handling; sensor fusion; data integration; schema matching method; structured data fusion; Conferences; Data integration; Data models; Databases; Joints; Reactive power; Signal processing; data consolidation; data fusion; data integration; schema matching; similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830321
  • Filename
    6830321