X-WACoDa: An XML-based approach for Warehousing and Analyzing Complex Data

Hadj Mahboubi (1) , Jean-Christian Ralaivao (1) , Sabine Loudcher (1) , Omar Boussaïd (1) , Fadila Bentayeb (1) , Jérôme Darmont (1)

1 ERIC - Equipe de Recherche en Ingénierie des Connaissances

Data warehousing and OLAP applications must nowadays handle complex data that are not only numerical or symbolic. The XML language is well-suited to logically and physically represent complex data. However, its usage induces new theoretical and practical challenges at the modeling, storage and analysis levels; and a new trend toward XML warehousing has been emerging for a couple of years. Unfortunately, no standard XML data warehouse architecture emerges. In this paper, we propose a unified XML warehouse reference model that synthesizes and enhances related work, and fits into a global XML warehousing and analysis approach we have developed. We also present a software platform that is based on this model, as well as a case study that illustrates its usage.

Mots clés: XML data warehousing; Complex data; Multidimensional modelling; complex data analysis; OLAP; XML data warehousing

Domaines: Base de données [cs.DB]

Hadj Mahboubi, Jean-Christian Ralaivao, Sabine Loudcher, Omar Boussaïd, Fadila Bentayeb, et al.. X-WACoDa: An XML-based approach for Warehousing and Analyzing Complex Data. L. Bellatreche. Advances in Data Warehousing and Mining, 3, IGI Publishing, pp.38-54, 2009, Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction. ⟨hal-01447939v2⟩