大数据知识服务平台架构设计及应用研究  

Research on the Architecture Design and Application of Big Data Knowledge Service Platform

作　　者：刘晓丹[1] 贾利娟[1] LIU Xiaodan;JIA Lijuan(Shaanxi Radio and Television University,Xi’an,Shanxi,710119,China)

机构地区：[1]陕西广播电视大学

出　　处：《中国锰业》2019年第3期104-107,共4页China Manganese Industry

基　　金：高职数据库课程实训教学研究与实践(GJ1712)

摘　　要：当前数据信息呈现出爆发式的增长,为了便于对大数据进行处理、汇聚、关联和挖掘,构建了大数据知识服务平台。该平台分成服务层、功能层和平台层,采用Struts2框架对平台进行开发,MySQL数据库对数据分析结果进行存储。知识服务大数据分析采用K-Medoids聚类改进算法。最后,对该平台的应用效果进行分析,结果表明:该平台知识分类效果较精确,检索效率更高。Current data information shows explosive growth.In order to facilitate the processing,aggregation,correlation and mining of big data,this paper constructs a big data knowledge service platform.The platform is divided into service layer,function layer and platform layer.Struts 2 framework is used to develop the platform and MySQL database is used to store the results of data analysis.This platform makes use of K-Medoids clustering improved algorithm to analyze big data.Finally,the application of the platform is analyzed,the results show that the platform knowledge classification is more accurate and the retrieval efficiency is higher.

关 键 词：大数据 知识服务 STRUTS2 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]