A Quality Evaluation Approach for OLAP Metadata of Multidimensional OLAP Data
The quality of metadata in OnLine Analytical Processing(OLAP) process has remarkable influence on the stability and reliability of OLAP tools. Modeldriven metadata integration approach introduces the metadata management concept based on the object oriented paradigm for modeling and querying OLAP metadata of multidimensional data. In this model, the basic concepts of the object oriented model including object, class, and relationship between objects are applied to describe objects of multidimensional data and the OLAP operations. Thus the metadata of multidimensional OLAP data is modeled as a fact and a set of elements that are organized into class hierarchy. However, the quality evaluation of OLAP metadata which describes multidimensional data is difficult because of the structural essential of the metadata. In this paper, we propose a quality evaluation approach for modeldriven OLAP metadata. This approach depends on a static formalization mechanism, various reasoning procedures supported by the formalization can be used for the quality evaluation tasks.
OnLine Analytical Processing(OLAP) Metadata Management Quality Evaluation Model-driven Architecture Formalization Mechanism
Xiaofei Zhao Zhiqiu Huang
Department of Computer Science and TechnologyNanjing University of Information Science and Technolog Department of Computer Science and Engineering Nanjing University of Aeronautics and Astronautics Na
国际会议
成都
英文
1-5
2010-04-16（万方平台首次上网日期，不代表论文的发表时间）