• DocumentCode
    2123850
  • Title

    Context Modeling Approach for Geospatial Information Service

  • Author

    Shao-yi, Wang ; Xiu, Su

  • Author_Institution
    Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    9
  • Lastpage
    13
  • Abstract
    The main idea of pervasive computing is to embed computer into the living environment or tool of human, so as to make the computer invisible from userpsilas sight and the users can focus on their task itself, instead of the computer. As having natural relationship with the spatial distribution and mobile, the pervasive computing has been applied in geospatial information areas widely. However, the pervasive computing has brought challenges to the geospatial information science, and the first step of the solution to this challenge should be the modeling of geospatial context .This paper summarizes and analyses typical geospatial context, builds up a formal context model for geospatial information service based on ontology. The model is designed hierarchically and the context is expressed using the Web ontology language (OWL), which improves context expressing ability. Finally, this paper designs a context-aware computing model for geospatial information.
  • Keywords
    Internet; geographic information systems; knowledge representation languages; mobile computing; ontologies (artificial intelligence); OWL; Web ontology language; context-aware computing model; formal context model; geospatial information service; mobile computing; pervasive computing; Context modeling; Context-aware services; Embedded computing; Humans; Information analysis; Information science; Mobile computing; OWL; Ontologies; Pervasive computing; Geospatial information context; context-sensitive; ontology; pervasive geographical computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3488-6
  • Type

    conf

  • DOI
    10.1109/KAM.2008.10
  • Filename
    4732776