Integrating Data Warehouses with Web Data: A Survey

This paper surveys the most relevant research on combining Data Warehouse (DW) and Web data. It studies the XML technologies that are currently being used to integrate, store, query and retrieve web data, and their application to DWs. The paper reviews different DW distributed architectures and the...

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Bibliographic Details
Published in:IEEE transactions on knowledge and data engineering 2008-07, Vol.20 (7), p.940-955
Main Authors: Perez, J.M., Berlanga, R., Aramburu, M.J., Pedersen, T.B.
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Content based retrieval
Data models
Data processing. List processing. Character string processing
Data warehouse and repository
Data warehouses
Data warehousing
Design engineering
Exact sciences and technology
Extensible Markup Language
Information retrieval
Information systems. Data bases
Mathematical analysis
Memory organisation. Data processing
Multidimensional systems
On-line systems
Paper technology
Resource description framework
Software
Stores
XML
XML/XSL/RDF
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Summary:This paper surveys the most relevant research on combining Data Warehouse (DW) and Web data. It studies the XML technologies that are currently being used to integrate, store, query and retrieve web data, and their application to DWs. The paper reviews different DW distributed architectures and the use of XML languages as an integration tool in these systems. It also introduces the problem of dealing with semi-structured data in a DW. It studies Web data repositories, the design of multidimensional databases for XML data sources and the XML extensions of On-Line Analytical Processing techniques. The paper addresses the application of information retrieval technology in a DW to exploit text-rich documents collections. The authors hope that the paper will help to discover the main limitations and opportunities that offer the combination of the DW and the Web fields, as well as, to identify open research lines.
ISSN:1041-4347
1558-2191
DOI:10.1109/TKDE.2007.190746