Book chapter
XML-OLAP: A Multidimensional Analysis Framework for XML Warehouses
Data Warehousing and Knowledge Discovery
2005
Abstract
Recently, a large number of XML documents are available on the Internet. This trend motivated many researchers to analyze them multi-dimensionally in the same way as relational data. In this paper, we propose a new framework for multidimensional analysis of XML documents, which we call XML-OLAP. We base XML-OLAP on XML warehouses where every fact data as well as dimension data are stored as XML documents. We build XML cubes from XML warehouses. We propose a new multidimensional expression language for XML cubes, which we call XML-MDX. XML-MDX statements target XML cubes and use XQuery expressions to designate the measure data. They specify text mining operators for aggregating text constituting the measure data. We evaluate XML-OLAP by applying it to a U.S. patent XML warehouse. We use XML-MDX queries, which demonstrate that XML-OLAP is effective for multi-dimensionally analyzing the U.S. patents.
Metrics
Details
- Title
- XML-OLAP: A Multidimensional Analysis Framework for XML Warehouses
- Creators
- Byung-Kwon Park - Dong-A UniversityHyoil Han - Drexel UniversityIl-Yeol Song - Drexel University
- Publication Details
- Data Warehousing and Knowledge Discovery
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000231850500004
- Scopus ID
- 2-s2.0-26844488596
- Other Identifier
- 991019184072104721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods