A New Multidimensional Model for the Olap of Documents Based on Facets

نویسندگان

  • Omar KHROUF
  • Kaïs KHROUF
  • Jamel FEKI
چکیده

The OLAP (On-Line Analytical Processing) systems provide a multidimensional analysis of voluminous databases by generating a synthetic vision of data. Several studies have focused on the application of these OLAP techniques on structured and semi-structured data, and more specifically XML documents. In this context, we propose a new multidimensional model for the OLAP of XML documents. The proposed model is based on a combination of different standard facets extracted from documents in order to provide more opportunities of analyses for decision makers compared to the classical multidimensional models (star model, snowflake model and constellation model).The proposed model in this paper, said "CobWeb model" is a multidimensional model based on the star model, it is composed by a set of dimensions related to each other, each of which represents one facet.

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تاریخ انتشار 2013