摘要
为了解决空间技术不断发展造成的大量空间数据难以及时处理的缺陷,提出用于数据检索的数据结构模式快速匹配方法。将网络划分多个不同的区域,每个区域分配一个域首,负责采集区域的信息,将采集的所有信息发送至中心管理系统,获取不同层次的匹配内容。通过匹配内容,获取各个匹配方式的相似度函数,通过相似度计算结果完成数据结构模式快速匹配。实验结果表明,所提方法能够有效减少通信降低,提高匹配速度,增加匹配精度,达到理想的匹配效果。
With the continuous development of space technology,a large amount of spatial data are difficult to be processed in time.Therefore,this article puts forward a method to match fast data structure pattern for data retrieval.The network is divided into many different areas,and a domain head is assigned to each area,which is responsible for collecting regional information.Then,all the collected information are sent to the central management system to ob-tain matching content at different levels.By matching the content,the similarity function of each matching method is obtained.Finally,the fast matching of data structure pattern is completed through the similarity calculation result.Simulation results show that the proposed method can effectively improve the matching speed and increase the matc-hing precision.Meanwhile,the ideal matching effect is achieved.
作者
罗琼
林若钦
LUO Qiong;LIN Ruo-qin(South China Institute of Software Engineering,Guangzhou University,Guangzhou Guangdong 510990,China)
出处
《计算机仿真》
北大核心
2020年第1期394-397,共4页
Computer Simulation
作者简介
罗琼(1980-),女(汉族),湖北荆州人,硕士,讲师,主要研究方向为数据库技术、大数据处理;林若钦(1978-),男(汉族),广东人,硕士,讲师,主要研究方向为软件测试。
