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Constructing OLAP Cubes from XML Data (Abstract)
On-Line Analytical Processing (OLAP) enables analysts to gain insight
into data through fast and interactive access to a variety of possible
views on information. In the traditional data warehousing approach,
selected information is extracted in advance and stored in a
repository. This approach is widely adopted because of its
high-performance guarantee. However, in some situations a logical
integration of data is preferable since some data is inherently not
suited for storing in a data warehouse, e.g. dynamically evolving
information.
Extensible Markup Language (XML) is fast becoming the new standard for
data representation and exchange on the World Wide Web. The rapid
emergence of business-to-business (B2B) e-commerce on the Web based on
XML documents is making analysis tools capable of handling XML data
necessary.
Based on a real-world case study this paper presents techniques for
constructing an OLAP database (OLAP DB) from multiple data sources,
enabling existing OLAP tools to exploit XML data.
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