English

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

Databases 2017-01-30 v1

Abstract

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.

Keywords

Cite

@article{arxiv.1701.08033,
  title  = {X-WACoDa: An XML-based approach for Warehousing and Analyzing Complex Data},
  author = {Hadj Mahboubi and Jean-Christian Ralaivao and Sabine Loudcher and Omar Boussaïd and Fadila Bentayeb and Jérôme Darmont},
  journal= {arXiv preprint arXiv:1701.08033},
  year   = {2017}
}
R2 v1 2026-06-22T18:02:23.691Z