Warehousing complex data from the web

نویسندگان

  • Omar Boussaïd
  • Jérôme Darmont
  • Fadila Bentayeb
  • Sabine Loudcher
چکیده

The data warehousing and OLAP technologies are now moving onto handling complex data that mostly originate from the Web. However, intagrating such data into a decision-support process requires their representation under a form processable by OLAP and/or data mining techniques. We present in this paper a complex data warehousing methodology that exploits XML as a pivot language. Our approach includes the integration of complex data in an ODS, under the form of XML documents; their dimensional modeling and storage in an XML data warehouse; and their analysis with combined OLAP and data mining techniques. We also address the crucial issue of performance in XML warehouses.

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عنوان ژورنال:
  • Int. J. Web Eng. Technol.

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2008