• DocumentCode
    2197392
  • Title

    Ontology-supported complex feature discovery in a web service environment

  • Author

    Di, Liping ; Yue, Peng ; Sun, Ziheng

  • Author_Institution
    Center for Spatial Inf. Sci. & Syst. (CSISS), George Mason Univ., Fairfax, VA, USA
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2887
  • Lastpage
    2890
  • Abstract
    Web service technologies have shown great promise for rapid feature discovery from large volumes of remote sensing images. A complex feature is spatially composed of elementary features. The spatial relationships among elementary features can be used to discover complex features. This paper presents an ontology supported approach for detection task of complex features. The characteristic spatial relations for complex features are formalized and used for task modeling. Tasks are mapped to service ontologies to facilitate the creation of service chains. A prototype system is developed to demonstrate the applicability of the approach.
  • Keywords
    Web services; geophysical image processing; ontologies (artificial intelligence); remote sensing; Web service environment; characteristic spatial relation; detection task; elementary feature; ontology-supported complex feature discovery; remote sensing image; service ontologies; spatial relationship; task mapping; task modeling; Educational institutions; Feature extraction; Geospatial analysis; Ontologies; Remote sensing; Semantics; Web services; Complex Feature; Geoprocessing; Geospatial Service; Ontology; Task;
  • 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.2012.6350723
  • Filename
    6350723