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Using ontology and rules to retrieve the semantics of disaster remote sensing data 被引量:1
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作者 DONG Yumin LI Ziyang +1 位作者 LI Xuesong LI Xiaohui 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第5期1211-1218,共8页
Remote sensing data plays an important role in natural disaster management.However,with the increase of the variety and quantity of remote sensors,the problem of“knowledge barriers”arises when data users in disaster... Remote sensing data plays an important role in natural disaster management.However,with the increase of the variety 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 disaster 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 reasoning 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. 展开更多
关键词 remote sensing data DISASTER ONTOLOGY semantic reasoning
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