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Author Jensen, M.R. ♦ Moller, T.H. ♦ Pedersen, T.B.
Sponsorship Center for Earth Observing & Space Res.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2001
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data
Subject Keyword XML ♦ Multidimensional systems ♦ Information analysis ♦ Warehousing ♦ Data analysis ♦ Data models ♦ Data warehouses ♦ Unified modeling language ♦ Computer science ♦ Data mining
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, organized in a dimensional model. The demand for data integration is rapidly becoming larger as more and more information sources appear in modern enterprises. In the data warehousing approach, selected information is extracted in advance and stored in a repository. This approach is used because of its high performance. However, in many situations a logical (rather than physical) integration of data is preferable. Previous Web-based data integration efforts have focused almost exclusively on the logical level of data models, creating a need for techniques focused on the conceptual level. Also, previous integration techniques for Web-based data have not addressed the special needs of OLAP tools such as handling dimensions with hierarchies. Extensible Markup Language (XML) is fast becoming the new standard for data representation and exchange on the World Wide Web. The rapid emergence of XML data on the Web, e.g., business-to-business (B2B) e-commerce, is making it necessary for OLAP and other data analysis tools to handle XML data as well as traditional data formats. Based on a real-world case study, the paper presents an approach to the conceptual specification of OLAP DBs based on Web data. Unlike previous work, this approach takes special OLAP issues such as dimension hierarchies and correct aggregation of data into account. Additionally, an integration architecture that allows the logical integration of XML and relational data sources for use by OLAP tools is presented.
Description Author affiliation: Dept. of Comput. Sci., Aalborg Univ., Denmark (Jensen, M.R.)
ISBN 0769512186
ISSN 10993371
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2001-07-18
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 1.22 MB
Page Count 12
Starting Page 101
Ending Page 112

Source: IEEE Xplore Digital Library