• DocumentCode
    2526553
  • Title

    GeoKSGrid: A geographical knowledge grid with functions of spatial data mining and spatial decision

  • Author

    Lin, Jiaxiang ; Chen, Chongcheng ; Wu, Xiaozhu ; Wu, Jianwei ; Wang, Weibin

  • Author_Institution
    Spatial Inf. Res. Center of Fujian, Fuzhou Univ., Fuzhou, China
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    121
  • Lastpage
    126
  • Abstract
    Motivated by the lack of a geographical problem solving environment that is adequate to provide end users with reliable, open, distributed, and long lasting spatial data analyzing and knowledge discovery services, a novel geographical knowledge service platform - GeoKSGrid with functions of spatial decision support and distributed & parallel data mining is described in this paper. The basic concepts and state-of-the-art knowledge in grid research is discussed first. Then, the design of system architecture and the implementation of several most important modules of GeoKSGrid are illustrated. Finally, some demonstrative applications of the geographical knowledge services in real industry contexts is examined, combining with a brief interpretation of the processing results which confirm the practical value of the services and knowledge grid platform.
  • Keywords
    data mining; decision support systems; geographic information systems; grid computing; parallel processing; GeoKSGrid; distributed data mining; geographical knowledge grid; geographical knowledge service platform; knowledge discovery services; parallel data mining; spatial data mining; spatial decision support function; Computer architecture; Data mining; Data models; Data visualization; Ontologies; Soil; Spatial databases; GeoKSGrid; geographical problem; knowledge grid; spatial data mining; spatial decision support;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
  • Conference_Location
    Fuzhou
  • Print_ISBN
    978-1-4244-8352-5
  • Type

    conf

  • DOI
    10.1109/ICSDM.2011.5969017
  • Filename
    5969017