摘要
针对提高对地观测资源利用率和服务响应速度的需求,利用自然语言处理技术提出了一种用户需求融合处理方法。通过浅层语义分析和深层语义分析获取需求的格式化信息,在此基础上融合归并相同或者相似的用户需求,实现一图多用,大大提高对地观测资源的利用率,达到事半功倍的效果。试验结果表明,提出的方法可行、有效,需求融合归并的正确率大于90.2%。
In order to increase the utility of earth-observation and the service response speed,a user requirement merging processing method is proposed by using natural language processing technology.In this method,the format information of requirements is obtained through shallow semantic analysis and deep semantic analysis.Based on this information,the same or similar user requirements are merged to implement one-image multi-application so as to significantly increase the utility of earth-observation resource.The experiment results show that this method is feasible and effective,and the correctness of requirement merging is more than 90.2%.
作者
陈勇
CHEN Yong(The 54th Research Institute of CETC, Shijiazhuang 050081, China)
出处
《无线电工程》
2019年第7期551-556,共6页
Radio Engineering
基金
中国电子科技集团公司航天应用技术重点实验室开放基金资助项目
