首页|Using ontology and rules to retrieve the semantics of disaster remote sensing data
Using ontology and rules to retrieve the semantics of disaster remote sensing data
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原文链接
万方数据
维普
Remote sensing data plays an important role in natu-ral disaster management.However,with the increase of the varie-ty and quantity of remote sensors,the problem of"knowledge barriers"arises when data users in disaster field retrieve remote sensing data.To improve this problem,this paper proposes an ontology and rule based retrieval(ORR)method to retrieve disa-ster remote sensing data,and this method introduces ontology technology to express earthquake disaster and remote sensing knowledge,on this basis,and realizes the task suitability reason-ing of earthquake disaster remote sensing data,mining the semantic relationship between remote sensing metadata and disasters.The prototype system is built according to the ORR method,which is compared with the traditional method,using the ORR method to retrieve disaster remote sensing data can reduce the knowledge requirements of data users in the retrieval process and improve data retrieval efficiency.
Key Laboratory of Quantitative Remote Sensing Information Technology,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China
School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China
National Key Research and Development Program of China
万方数据
维普
