基于云计算的高校档案资源智能共享方法研究

Research on Intelligent Sharing Method of University Archives Resources Based on Cloud Computing

为了提高档案资源智能共享水平,该文提出基于云计算技术的高校档案资源智能共享优化方法。采用有向图分析方法,统计分析高校档案资源,并根据分析结果构建高校档案资源智能共享的信息融合模型,运用该模型融合处理大数据集;然后依据融合结果分析高校档案资源的分布式存储结构,并提取高校档案资源的语义关联规则特征集,以此为基础用云计算方法完成高校档案资源的大数据库的重建,从而实现高校档案资源信息共享优化的目的。结果表明,该方法的资源检索查准性较高,智能性较好,可以有效提高高校档案资源的智能共享。

In order to improve the ability of intelligent sharing of university archives resources,This paper uses digraph analysis method to analyze the archives resources of colleges and universities.According to the analysis results,an information fusion model of intelligent sharing of archives resources of colleges and universities is constructed,and large data sets are processed by using this model.Based on the fusion results,the distributed storage structure of University Archives resources is analyzed,and the semantic association rules feature set of University Archives resources is extracted.On this basis,the large database of University Archives resources is reconstructed by cloud computing method so as to realize the purpose of sharing and optimizing university archives resources information.The analysis of the experimental results shows that the output bit error rate of this method is low,which shows that the method has high accuracy and intelligence in resource retrieval,and effectively improves the intelligent sharing ability of University Archives resources.