• DocumentCode
    2211150
  • Title

    OWL-based semantic model for spatio-temporal geographic ontology

  • Author

    Huang, Zhaoqiang ; Zhen, Jianchun

  • Author_Institution
    Inst. of Miner. Resources, China Metallurgic Geol. Bur., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    483
  • Lastpage
    486
  • Abstract
    Semantic models are very important in many applications for describing relationships between concepts or entities. In the geospatial domain, geospatial semantic is the mapping relationship between the description of geospatial data and entities of reality world. The formal description of ontology is fundamental to data exchange standards. Geographical ontology defines the important geographical concepts in the geospatial domain. Ontology semantic modeling is more similar with geographical cognitive modeling. This paper proposed the OWL-based semantic model for spatio-temporal geographic ontology. The semantic model based on the methodology of ontology not only depicts the inner change detail of event and the relationships between events, but also describes the implicit semantic reasoning. Moreover the paper uses the Protégé v3.3.1, which was developed by Stanford Medical Informatics and was based on OWL, to construct the ontology semantic model. And then the subsumption checking and consistency maintenance of the model is reasoned using Racer software and the model is optimized gradually.
  • Keywords
    formal concept analysis; geophysics computing; ontologies (artificial intelligence); OWL based semantic model; Protege; data exchange standards; geographical cognitive modeling; geospatial data description; geospatial domain geographical concepts; geospatial semantics; mapping relationship; ontology semantic modeling; real world entities; spatiotemporal geographic ontology; Abstracts; Fires; Indexes; OWL; Ontologies; Semantics; Terrain factors; Geographical Ontology; Ontology Web Language; Semantic Model; Spatial Temporal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351381
  • Filename
    6351381