• DocumentCode
    2908138
  • Title

    Artificial Intelligence and GIS: Mutual Meeting and Passing

  • Author

    Vozenilek, V.

  • Author_Institution
    Dept. of Geoinformatics, Palacky Univ. Olomouc, Olomouc, Czech Republic
  • fYear
    2009
  • fDate
    4-6 Nov. 2009
  • Firstpage
    279
  • Lastpage
    284
  • Abstract
    During last ten years there is significant convergence of artificial intelligence (AI) and geographic information systems (GIS). Artificial intelligence provides sophisticated techniques for GIS projects while GIS is a powerful technology with the vast data sets and wide scope of applications for AI. Although there is increasing amount of scientific publications treating AI in GIS, the general concept of both research and applied goals is still missing. The paper comments relationships between artificial intelligence and geographic information systems critically. Two AI methods widely used in GIS - artificial neural networks and fuzzy logic-are mainly discussed. The author summarize current situation in related common topics of AI and GIS and identify further step and directions for research in geographic information science.
  • Keywords
    artificial intelligence; fuzzy logic; geographic information systems; neural nets; GIS projects; artificial intelligence; artificial neural networks; fuzzy logic; geographic information systems; Application software; Artificial intelligence; Artificial neural networks; Biological neural networks; Biological system modeling; Fuzzy logic; Geographic Information Systems; Humans; Information science; Intelligent networks; Artificial intelligence; fuzzy logic; geographic information systems; geography; neuron networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networking and Collaborative Systems, 2009. INCOS '09. International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-5165-4
  • Electronic_ISBN
    978-0-7695-3858-7
  • Type

    conf

  • DOI
    10.1109/INCOS.2009.83
  • Filename
    5368905