CWM Extensions for Knowledge and Metadata Integration for Complex Data Warehouse and Big Data

Ralaivao Christian, Razafindraibe Fabrice, Raherinirina Angelo, Rakotonirainy Hasina

2024

Abstract

This document constitutes a continuation of the work carried out in the field of complex data warehouses (DW) relating to the management and formalization of knowledge and metadata. It proposes a methodological approach to integrate two concepts, knowledge and metadata, within the framework of a complex DW architecture. The objective of the work considers the use of the knowledge representation technique by description logic and the extension of the Common Warehouse Metamodel (CWM) specifications. Several essential aspects of this work are expected, including the representation of knowledge in description logics and the declination of this knowledge into coherent UML diagrams while respecting or extending CWM specifications and using XML as a pivot, in particular OWL DL. Furthermore, the coupling between UML Ontology Profile (UOP) and the Ontology Definition Metamodel (ODM), for semantic modeling, integration of ontologies or enrichment of metadata, will be operationalized by transformation of models or by mapping or both simultaneously. As a result, a new extension of CWM metamodel will be developed. This will have performance consequences for a complex DW. The field of application is vast but will be adapted to systems with heterogeneous, complex and unstructured content and requiring a large (re)use of knowledge such as medical data warehouses.

Paper Citation

in Harvard Style

Christian R., Fabrice R., Angelo R. and Hasina R. (2024). CWM Extensions for Knowledge and Metadata Integration for Complex Data Warehouse and Big Data. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7, SciTePress, pages 329-336. DOI: 10.5220/0012689300003690

in Bibtex Style

@conference{iceis24,
author={Ralaivao Christian and Razafindraibe Fabrice and Raherinirina Angelo and Rakotonirainy Hasina},
title={CWM Extensions for Knowledge and Metadata Integration for Complex Data Warehouse and Big Data},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={329-336},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012689300003690},
isbn={978-989-758-692-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - CWM Extensions for Knowledge and Metadata Integration for Complex Data Warehouse and Big Data
SN - 978-989-758-692-7
AU - Christian R.
AU - Fabrice R.
AU - Angelo R.
AU - Hasina R.
PY - 2024
SP - 329
EP - 336
DO - 10.5220/0012689300003690
PB - SciTePress