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《Science of Surveying and Mapping》 2013-05
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Geo-information spatial relationships retrieval based on semantic

LIU Wei;GU He-he;School of Geodesy and Geometrics,Jiangsu Normal University;Jiangsu Key Laboratory of Resources and Environmental Information Engineering;  
In this paper,a solution for spatial data retrieval was proposed,with which the spatial relationship of topology,location and distance were established. Firstly,the semantic relation between spatial data and non-spatial data was analyzed,and the attribute relational graph-ARG describing the spatial relations was proposed. Secondly,it used AOGA( Application Ontology Generation Algorithm) to establish the application of ontology instances. Finally,taking Dalian Bay land utilization ontology as the example,the experimental result showed the availability of this method.
【Fund】: 江苏师范大学博士学位教师科研支持项目(11XLR01);; 国土资源部公益基金资助项目(201111013-03);; 国家863计划资助项目(2006AA09Z139)
【CateGory Index】: P208
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【Citations】
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