Knowledge Reinjection Policies and Machine Learning Integration in CWM-Based Complex Data Warehouses
Fabrice Razafindraibe, Jean Christian Ralaivao, Angelo Raherinirina, Hasina Rakotonirainy
2025
Abstract
This article discusses the growing complexity of data warehousing systems and the need for enhanced frameworks that can effectively manage simultaneously metadata and knowledge. While the Common Warehouse Metamodel (CWM) provides a standardized method for metadata management, its semantic limitations hinder its use in complex environments. To overcome these shortcomings, the paper proposes an extended CWM framework that incorporates ontologies, machine learning, and knowledge re-injection policies. This new framework introduces additional layers and components, such as a ’learning package’ and advanced knowledge mapping, to improve semantic interoperability, adaptability and usability. The research also explores the integration of hybrid AI systems that use both inductive and deductive methods to facilitate knowledge discovery and improve decision making.
DownloadPaper Citation
in Harvard Style
Razafindraibe F., Ralaivao J., Raherinirina A. and Rakotonirainy H. (2025). Knowledge Reinjection Policies and Machine Learning Integration in CWM-Based Complex Data Warehouses. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 301-308. DOI: 10.5220/0013352600003929
in Bibtex Style
@conference{iceis25,
author={Fabrice Razafindraibe and Jean Ralaivao and Angelo Raherinirina and Hasina Rakotonirainy},
title={Knowledge Reinjection Policies and Machine Learning Integration in CWM-Based Complex Data Warehouses},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={301-308},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013352600003929},
isbn={978-989-758-749-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Knowledge Reinjection Policies and Machine Learning Integration in CWM-Based Complex Data Warehouses
SN - 978-989-758-749-8
AU - Razafindraibe F.
AU - Ralaivao J.
AU - Raherinirina A.
AU - Rakotonirainy H.
PY - 2025
SP - 301
EP - 308
DO - 10.5220/0013352600003929
PB - SciTePress