文章基本信息

标题：Integrating Related XML Data into Multiple Data Warehouse Schemas
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作者：Soumya Sen ; Ranak Ghosh ; Debanjali Paul 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2012
卷号：2
期号：1
页码：357-367
DOI：10.5121/csit.2012.2133
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：XML is a worldwide standard to represent data in web based system. Numbers of organizations use XML for e-commerce and internet based applications. On the other hand, data warehouse is used by most of the organizations for making decisions on their business by analyzing operational data. Integration of business logic based on data warehouse and XML based system has therefore emerged as a demanding area of research interest. This paper illustrates an approach to integrate XML data based on multiple related XML Schemas, to its compatible data warehouse schemas based on relational online analytical processing (ROLAP). The novelty of the work is that more than one type of data warehouse schemas could be identified from a single related XML schema. A new data structure, Schema Graph has been proposed in the process.
关键词：XML; XML Schema; Data Warehouse; Fact Constellation Schema; Star Schema; Snowflake ;Schema; Schema Graph