X-WACoDa: An XML-based approach for Warehousing and Analyzing Complex Data
Hadj Mahboubi (ERIC), Jean-Christian Ralaivao (ERIC), Sabine Loudcher, (ERIC), Omar Boussa\"id (ERIC), Fadila Bentayeb (ERIC), J\'er\^ome Darmont, (ERIC)

TL;DR
This paper introduces X-WACoDa, a unified XML warehouse model and platform designed to efficiently store and analyze complex data types, addressing current challenges in XML data warehousing.
Contribution
It proposes a comprehensive XML warehouse reference model and a software platform, advancing the standardization and practical implementation of XML data warehousing.
Findings
A unified XML warehouse model that enhances existing approaches
A software platform supporting XML data warehousing and analysis
Case study demonstrating practical application of the model
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.
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Taxonomy
TopicsAdvanced Database Systems and Queries · Data Management and Algorithms · Semantic Web and Ontologies
