• DocumentCode
    1985028
  • Title

    StarEAI+: A Heterogeneous Data Integration Platform Based on Automatic Mapping Technology

  • Author

    Miao, Jiajia ; Zhang, Dongge ; Li, Aiping ; Yan, Jia ; Jiang, Siyu

  • Author_Institution
    Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Data integration is the basis of the information integration technology. With the continuous increasing of the information utilization, the large-scale heterogeneous data integration has become a hot issue in the information research. The mapping technology is the key to establish the consistency among the heterogeneous data, including the consistency of data model, the consistency of data instance and so on. By introducing the technologies of machine learning, natural language processing, as well as the theory of fuzzy model, we improve the schema mapping approach and the instance matching approach while optimize the broken mapping detecting algorithm. We extend this platform with tree modules: the automatic schema mapping module, the instance matching module, as well as the broken mapping detecting module. The StarEAI+ system has been successfully deployed in the projects of armed forces and network monitoring.
  • Keywords
    data handling; fuzzy set theory; learning (artificial intelligence); tree data structures; StarEAI+; armed forces; automatic mapping technology; data instance consistency; fuzzy model theory; heterogeneous data integration platform; information research; instance matching approach; machine learning; natural language processing; network monitoring; schema mapping approach; tree modules; Bandwidth; Data models; Information systems; Manifolds; Monitoring; Programmable logic arrays; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Applications, 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5142-5
  • Electronic_ISBN
    978-1-4244-5143-2
  • Type

    conf

  • DOI
    10.1109/ITAPP.2010.5566642
  • Filename
    5566642