• DocumentCode
    529746
  • Title

    Contextual spatial relations based spatial modelling of vague place names

  • Author

    Zhang, Xueying ; Zhu, Shaonan

  • Author_Institution
    Key Lab. of Virtual Geographic Environ., Minist. of Educ., Nanjing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    28-31 Aug. 2010
  • Firstpage
    23
  • Lastpage
    26
  • Abstract
    Place names have been one of the most commonly-preferred georeferencing systems used to communicate geographically-specific information in our daily lives. Gazetteers as specialized geographical information systems bridge the gap between textual place names and geospatial locations. Most place names in gazetteers are thought of as administrative regions and described with official names. However, a place name could also be a thematic region, a functional region or a cognitive region. There is hence a need to enrich gazetteers with such vague place names and extend their applications. Geospatial location and boundary of vague place names can be induced based on the descriptions of its referred geographical entities and spatial relations in context. Here an approach is proposed to approximately model vague place names based on contextual spatial relations. Computational models for qualitative spatial relations are identified to model single spatial relations and a layer-overlapping method is presented to compute composed spatial relations. A few typical examples further explore the detailed processing tasks and performance. Finally, an application case is illustrated and various aspects of the approach are discussed.
  • Keywords
    cognitive systems; geographic information systems; inference mechanisms; information retrieval; natural language processing; cognitive region; contextual spatial relation; functional region; gazetteer; geographical information system; geographically specific information; geospatial location; layer overlapping method; qualitative spatial relation; spatial modelling; thematic region; vague place name; Cognition; Computational modeling; Computer science; Context modeling; Geospatial analysis; Google; Natural languages; approximate modelling; gazetteer; natural language; place name; spatial relation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-8514-7
  • Type

    conf

  • DOI
    10.1109/IITA-GRS.2010.5603125
  • Filename
    5603125