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动态数据关联网络的表示及搜索方法

Representation and Search Method of Dynamic Linked Data Network
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摘要 设计和实现了一种动态数据关联网络的表示及搜索方法和系统,能够在数据实体较多、关联关系较复杂时,帮助用户获得实体周边关联关系,并通过引导式交互不断动态扩展;在已知可能有关联的多个实体时,采用分布式计算最小连通图算法,搜索出其关联网络.应用实例表明,本方法和系统能够取得很好的实际效果,采用本方法的应用系统已经在智慧城市、平安城市、城域物联网等多个工程项目中获得落地应用. This study designs and develops a representation and search method and a relevant system for dynamic linked data networks.The method can help users obtain the association around an entity when there are complicated entities and associations,and the network can be dynamically expanded through guided interaction.When users know multiple entities which are suspected to be associated,the minimum connected graph algorithm based on distributed computing is used to search out the association network.Application cases show that the proposed method and system can achieve good results and user experiences,and the system based on the method has been applied in many engineering projects such as Smart City,Safe City and Metropolitan IoT.
作者 陈琼 李良 刘钊岐 CHEN Qiong;LI Liang;LIU Zhao-Qi(CETHIK Group Co.Ltd.,Hangzhou 311100,China)
出处 《计算机系统应用》 2022年第8期115-124,共10页 Computer Systems & Applications
基金 国家科技重大专项(2018ZX01028102)。
关键词 数据关联网络 数据可视化 关联关系搜索 大数据 linked data network data visualization association search big data
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