• DocumentCode
    3727778
  • Title

    An ontology matching method for GML application ontology to GeoSPARQL ontology

  • Author

    Ruqiong Qiu; Hongwei Duan; Xiaomin Yu; LiNa Zheng; Qi Cheng

  • Author_Institution
    National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan), China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Because of the GML specification´s widely use, GML application semantic data provides massive, rich geographic semantic data for semantic web, standardized and consistent semantic query has become the key point of intelligent application for GML application semantic data. GeoSPARQL standard proposed by OGC can make consistent representation and query for heterogeneous, incompatible geographic semantic data, so it can be used as a base for consistency semantic query. This paper firstly uses ontology construction and ontology matching technology to map GML application ontology and GeoSPARQL ontology. Secondly, reasoning technology and semantic reasoning engine are used to realize a consistency semantic query experiment based on GeoSPARQL standard. The query experiment shows that this method is effective and feasible, and has a certain universal.
  • Keywords
    "Ontologies","Surface treatment","Semantics","Standards","Geometry","Geology"
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2015 23rd International Conference on
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2015.7378625
  • Filename
    7378625