Using ontology and rules to retrieve the semantics of disaster remote sensing data  

作　　者：DONG Yumin LI Ziyang LI Xuesong LI Xiaohui 

机构地区：[1]Key Laboratory of Quantitative Remote Sensing Information Technology,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China [2]School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China

出　　处：《Journal of Systems Engineering and Electronics》2024年第5期1211-1218,共8页系统工程与电子技术（英文版）

基　　金：supported by the National Key Research and Development Program of China(2020YFC1512304).

摘　　要：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.

关 键 词：remote sensing data DISASTER ONTOLOGY semantic reasoning 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] X43[自动化与计算机技术—控制科学与工程]