Volume 35 Issue 3
Mar.  2010
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ZHAN Qin, LI Deren, SUI Haigang, ZHANG Xia. A Method for Building Remote Sensing Information Services Classification Ontology[J]. Geomatics and Information Science of Wuhan University, 2010, 35(3): 343-346.
Citation: ZHAN Qin, LI Deren, SUI Haigang, ZHANG Xia. A Method for Building Remote Sensing Information Services Classification Ontology[J]. Geomatics and Information Science of Wuhan University, 2010, 35(3): 343-346.
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A Method for Building Remote Sensing Information Services Classification Ontology

  • 1School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China;3School of Printing and Packaging,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家自然科学基金资助项目(40701156)
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  • Received Date: January 10, 2009
  • Revised Date: January 10, 2009
  • Published Date: March 04, 2010
    Graphical Abstract
    • Abstract
  • Remote sensing information services classification ontology is a basic component for description,management,querying and searching of remote sensing information services on a semantic level in distributed Web environment.How to build the classification ontology is an important problem.We first analyze domain features of remote sensing information services and event-noun characteristic of their concepts.Based on that,we combine frame semantics theory to analyze semantic features of service concepts,and present an approach based on event frame and formal concept analysis to build the classification ontology.Experimental results show that this method is effective.
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