• DocumentCode
    2939262
  • Title

    Data Management Model for Ambient Intelligence: AmI-Data

  • Author

    Rui, Chen ; Hou Yibin ; Huang Zhangqin ; Jian, He

  • Author_Institution
    Embedded Software & Syst. Inst., Beijing Univ. of Technol., Beijing
  • Volume
    3
  • fYear
    2009
  • fDate
    6-8 Jan. 2009
  • Firstpage
    175
  • Lastpage
    180
  • Abstract
    In Ambient Intelligence (AmI) environment, data access, data storage, data processing, and data presentation are much different from what they are in the traditional computing environment. These issues bring some new obstacles and challenges to the system developing for AmI. According to these challenges, this paper proposed a data model, as well as a data management model "AmI-data" for the AmI space. AmI-data supports the automatic hoarding and harvesting of data from multiple, heterogeneous data sources. It also supports metadata to give the system the ability of service discovery between heterogeneous AmI systems. Furthermore, AmI-data also supports a lot of advanced data mining methods, such as HMM, ANN, Fuzzy computing. The final data presentation of the AmI-data is "service", which is the final goal of Ambient Intelligence applications.
  • Keywords
    data mining; distributed databases; meta data; ambient intelligence; data access; data harvesting; data hoarding; data management model; data mining methods; data presentation; data processing; data storage; heterogeneous data sources; metadata; service discovery; Ambient intelligence; Data processing; Embedded computing; Environmental management; Intelligent sensors; Mobile agents; Mobile communication; Mobile computing; Pervasive computing; Ubiquitous computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-0-7695-3501-2
  • Type

    conf

  • DOI
    10.1109/CMC.2009.194
  • Filename
    4797243