• DocumentCode
    476053
  • Title

    Multi-granularities approximate method for obtaining qualitative spatial relations

  • Author

    Wang, Sheng-sheng ; Wang, Xin-ying ; Liu, Da-you

  • Author_Institution
    Key Lab. of symbolic Comput. & knowledge Eng. of Minist. of Educ., Jilin Univ., Changchun
  • Volume
    3
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1323
  • Lastpage
    1328
  • Abstract
    Qualitative spatial relations are widely used in spatial description logics, spatial ontologies and other applications. Efficient method to obtain qualitative spatial relations from traditional GIS has not been discussed in previous literatures. We give an efficient method for calculating qualitative spatial relations. We propose the multi-granularities approximate representation of GIS objects which requires less process time. Then some algorithms are proposed to calculate the spatial relations based on multi-granularities approximate region. The analysis and test result all show that our method supports complex and integrated spatial relations and require less process time than traditional spatial query.
  • Keywords
    geographic information systems; ontologies (artificial intelligence); semantic Web; spatial reasoning; GIS objects; Geographical Information System; multigranularities approximate method; multigranularities approximate region; qualitative spatial reasoning; qualitative spatial relations; semantic Web; spatial description logics; spatial ontologies; Computer science; Cybernetics; Educational institutions; Educational technology; Geographic Information Systems; Logic; Machine learning; Ontologies; Semantic Web; Spatial databases; Multi-granularities Approximate; Qualitative Spatial Reasoning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620610
  • Filename
    4620610