Warehousing Web Data

dc.creatorDarmont, Jérôme
dc.creatorBoussaïd, Omar
dc.creatorBentayeb, Fadila
dc.date2007-05-10
dc.date.accessioned2026-07-07T08:00:39Z
dc.date.available2026-07-07T08:00:39Z
dc.descriptionIn a data warehousing process, mastering the data preparation phase allows substantial gains in terms of time and performance when performing multidimensional analysis or using data mining algorithms. Furthermore, a data warehouse can require external data. The web is a prevalent data source in this context. In this paper, we propose a modeling process for integrating diverse and heterogeneous (so-called multiform) data into a unified format. Furthermore, the very schema definition provides first-rate metadata in our data warehousing context. At the conceptual level, a complex object is represented in UML. Our logical model is an XML schema that can be described with a DTD or the XML-Schema language. Eventually, we have designed a Java prototype that transforms our multiform input data into XML documents representing our physical model. Then, the XML documents we obtain are mapped into a relational database we view as an ODS (Operational Data Storage), whose content will have to be re-modeled in a multidimensional way to allow its storage in a star schema-based warehouse and, later, its analysis.
dc.identifierhttps://arxiv.org/abs/0705.1456
dc.identifierhttp://arxiv.org/abs/0705.1456
dc.identifier4th International Conference on Information Integration and Web-based Applications and Services (iiWAS 02) (09/2002) 148-152
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/128721
dc.subjectDatabases
dc.titleWarehousing Web Data
dc.typetext

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