基于知识图谱的物联网多源信息协同挖掘系统设计

Design of multi⁃source information collaborative mining system for internet of things based on knowledge map

考虑到当前物联网信息挖掘与应用系统,由于信息体系构建能力不足,导致系统召回率与挖掘准确率较低的问题,设计了基于知识图谱的物联网多源信息协同挖掘系统。优化系统中央控制器芯片,选用NADA Flash芯片构建系统数据存储器,并对数据收发口结构进行改良。对采集到的原始信息进行预处理,并应用知识图谱技术获取多源信息相似性,使用K均值聚类方法,实现物联网多源信息协同挖掘。功能调试与性能测试结果表明,此系统可提升系统召回率与挖掘准确率,使用此系统获取的信息挖掘结果可靠性较高。

Considering the current Internet of things information mining and application system,due to the lack of information system construction ability,resulting in low system recall and mining accuracy,a multi⁃source information collaborative mining system of Internet of things based on knowledge map is designed.Optimize the system central controller chip,select NADA Flash chip to build the system data memory,and improve the data transceiver structure.The collected original information is preprocessed,the similarity of multi⁃source information is obtained by using knowledge map technology,and the Kmeans clustering method is used to realize the collaborative mining of multi⁃source information in the Internet of things.The results of function debugging and performance test show that this system can improve the recall rate and mining accuracy of the system,and the information mining results obtained by this system are highly reliable.