Volume 35 Issue 4
Apr.  2010
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ZHU Qing, YANG Xiaoxia, LI Haifeng. Remotely Sensed Information Processing Service Composition Based on Semantic Matching[J]. Geomatics and Information Science of Wuhan University, 2010, 35(4): 384-387.
Citation: ZHU Qing, YANG Xiaoxia, LI Haifeng. Remotely Sensed Information Processing Service Composition Based on Semantic Matching[J]. Geomatics and Information Science of Wuhan University, 2010, 35(4): 384-387.
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Remotely Sensed Information Processing Service Composition Based on Semantic Matching

  • 1State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2School of Civil and Architectural Engineering,Central South University,Changsha 410075,China

Funds: 国家自然科学基金资助项目(40721001)
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  • Received Date: December 27, 2009
  • Revised Date: December 27, 2009
  • Published Date: April 04, 2010
    Graphical Abstract
    • Abstract
  • Aiming at the automatic service composition of remotely sensed information processing service,this paper proposes a semantic matching based composition method.Based on remote sensing information ontology,a hierarchical semantic matching methods on both service category and remotely sensed image metadata is introduced.And a progressive composition is implemented by two steps:① the service and/or graph related to user requirement is created on-line to limit the services' selection range;② AO* based heuristic search algorithm is used for optimal path in the and/or graph.Typical remote sensing change detection application is employed as a case study.
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