摘要
与书目数据分析相关的研究领域越来越多,感兴趣的书目数据可以被描述为异构信息网络。为了从网络中以多维的方式获取知识,在线分析处理(OLAP)可以帮助用户从不同的角度访问数据。对于OLAP分析,必须同时考虑节点和边缘,使其适合提供网络数据。为了考虑网络上OLAP中的关联数据,提出了一种表示图书馆书目网络的概念图模型,并在其基础上构建了多维数据集图形。书目数据网络的每个节点和边由一个多维数据集来描述,允许用户快速分析汇总成数据集的信息。该模型解决了OLAP分析中维数变化缓慢的问题。通过实验研究了3个书目数据库来证明模型有效性,结果表明,基于Graph OLAP的概念图模型可以有效地分析图书馆的书目数据,从而为管理人员提供其所需信息。
There are more and more research fields related to bibliographic data analysis.In many cases,the data of interest can be described as a heterogeneous information network.In order to obtain knowledge from the network in a multidimensional way,OLAP(online analytical processing)can help users access data from different angles.For OLAP analysis,both nodes and edges must be considered to make them suitable for providing network data.In order to consider the associated data in OLAP on the network,a concept map model is proposed to represent the library bibliographic network,and a cube graph is presented.Each node or edge of the bibliographic data network is described by a cube that allows the user to quickly analyze information aggregated into a cube.The proposed scheme also solves the problem of slow dimensional change in OLAP analysis.In order to demonstrate the effectiveness of this method,three bibliographic databases are studied experimentally,and the results show that the concept map model based on graph OLAP can effectively analyze the bibliographic data of the library,so as to provide the needed information for the managers.
作者
薛影
XUE Ying(The 3rd Affiliated Hospital of Zhengzhou University,Zhengzhou 450000,China)
出处
《微型电脑应用》
2021年第2期41-44,共4页
Microcomputer Applications
基金
河南省医学科技攻关计划项目(201803157)。
关键词
书目数据
OLAP分析
多维数据集
概念图模型
bibliographic data
OLAP analysis
multi-dimensional data set
concept map model