Case Study on Navigating Data Elements by Faceted Classifications in Scientific Data Warehouse
In a traditional data warehouse, the subject oriented means that all the elements (data attributes) relating to the same real-world event or object are linked together, the elements are classified and navigated by subject. But in scientific data warehouse, elements are faceted classifications oriented, users want to classify and navigate the elements by mutable classifications flexibly. It is hard to find a universal subject to support all usages. This paper is a case study of such issues, we propose a classification cube whose cells are modeled as cross-classification specified data marts. It supports users to navigate to any data marts easily by the query and OLAP operations, further provides the effective data service to the front-end applications.
data warehouse data marts data cube faceted classification
Yubin Bao Jie Song
Northeastern University.Shenyang 110004, China
国际会议
太原
英文
238-242
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）