• DocumentCode
    2902586
  • Title

    Hierarchical Ontology on Multi-scale Road Model for Cartographical Application

  • Author

    Wang, Yan-hui ; Meng, Hao

  • Author_Institution
    3D Inf. collection & Applic. Key Lab. of Educ. Minist., Capital Normal Univ., Beijing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    330
  • Lastpage
    333
  • Abstract
    Since many differences may arise in cognition, abstraction and representation during multi-scale road network compositive modeling, this paper proposes an hierarchical ontology-based multi-scale entity-Relation modeling strategy, it considers ontology integration from the bottom level-general ontology in geographical science, to task ontology for road network features cognition, definition,abstraction, and to the top level-application this level, at which this paper proposes in detail the multi-hierarchical ontology abstraction mechanism. Based on which an Entity-Relation analysis is made systemically, including the number of entities and entity relations at each scale, as well as the relation among the entities classes from adjacent scales. And at last, using multi-scale representations of road features as an example, the feasibility of an ontology-based modeling method is verified.
  • Keywords
    cartography; entity-relationship modelling; geography; ontologies (artificial intelligence); roads; cartographical application; geographical science; hierarchical ontology; multi-scale entity-relation modeling; multiscale road model; road network features cognition; Cognition; Data analysis; Data models; Educational technology; Geographic Information Systems; Ontologies; Roads; Solid modeling; Spatial databases; Transportation; hierarchical ontology; multi-scale data modeling; multi-scale representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.247
  • Filename
    5199702