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Building an XML document warehouse

Abstract : Data Warehouses and OLAP (On Line Analytical Processing) technologies are dedicated to analyzing structured data issued from organizations' OLTP (On Line Transaction Processing) systems. Furthermore, in order to enhance their decision support systems, these organizations need to explore XML (eXtensible Markup Language) documents as an additional and important source of unstructured data. In this context, this paper addresses the warehousing of document-centric XML documents. More specifically, we propose a two-method approach to build Document Warehouse conceptual schemas. The first method is for the unification of XML document structures; it aims to elaborate a global and generic view for a set of XML documents belonging to the same domain. The second method is for designing multidimensional galaxy schemas for Document Warehouses.
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Jamel Feki, Ines Ben Messaoud, Gilles Zurfluh. Building an XML document warehouse. Journal of Decision Systems, Abingdon Oxfordshire UK: Routledge Taylor & Francis Group, 2013, vol. 22 (n° 2), pp. 122-148. ⟨10.1080/12460125.2013.780322⟩. ⟨hal-01127962⟩



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