Warehousing complex data from the web
Warehousing complex data from the web
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DOI：
10.1504/ijwet.2008.019942
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发表时间：
2008-08
期刊：
影响因子：
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通讯作者：
Omar Boussaïd;J. Darmont;F. Bentayeb;Sabine Loudcher
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文献类型：
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作者：
Omar Boussaïd;J. Darmont;F. Bentayeb;Sabine Loudcher
数据仓库和联机分析处理（OLAP）技术现在正在处理主要来自Web的复杂数据。然而，将这样的数据集成到决策支持过程中需要它们以可由OLAP和/或数据挖掘技术处理的形式表示。在本文中，我们提出了一个复杂的数据仓库的方法，利用可扩展标记语言（XML）作为枢纽语言。我们的方法包括在ODS中的复杂数据的集成，在XML文档的形式;他们的维度建模和存储在XML数据仓库中;和他们的分析与组合OLAP和数据挖掘技术。我们还解决了XML仓库中的关键性能问题。
Data warehousing and Online Analytical Processing (OLAP) technologies are now moving onto handling complex data that mostly originate from the web. However, integrating such data into a decision-support process requires their representation in a form processable by OLAP and/or data mining techniques. We present in this paper a complex data warehousing methodology that exploits eXtensible Markup Language (XML) as a pivot language. Our approach includes the integration of complex data in an ODS, in the form of XML documents; their dimensional modelling 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.