OLAP技术在数字期刊检索系统中的应用

Application of OLAP in the digital periodical evaluation system

数字期刊是高校数字图书馆建设的重要组成部分,在高等学校的教学与研究中起着重要的作用,如何对检索出的期刊进行有效的价值评估,为读者进行文献参考提供决策支持,是本文的研究方向。联机分析处理(OLAP)作为商业智能领域的成熟数据处理技术,其优势是能够基于海量数据为用户提供高效、实时、多角度的数据展现。本文将OLAP技术应用到期刊评价领域,并基于ROLAP模式开发了一个完整的期刊评价系统,阐述了数据清洗、数据仓库及多维数据模型构建、期刊评价的OLAP操作实现等各个环节的实现原理及基本流程。

As an essential part of the digital library construction of universities, the digital periodical is playing the vital role in teaching and research. The aim of this thesis is to explore the effective approach of evaluating the periodicals which are retrieved by readers, and provide decision support for readers＇ reference. As one mature technique in the field of Business Intelligence, OLAP （online analytical processing） shows the superiority in analyzing mass data and rendering user an efficient, real-time, multi-angle data report. In this thesis, OLAP has been introduced into the field of periodical evaluation and an entire periodical evaluation system is developed based on ROLAP mode. Furthermore, this paper presents the implementation process and related principle of this system, including ETL, construction of Data Warehouse and multi- dimension data model, realization of periodical evaluation by QLAP operation.