Semantic-based Data Integration and Mapping Maintenance: Application to Drugs Domain

Mouncef Naji, Maroua Masmoudi, Hajer Zghal, Chirine Guegan, Vlado Stankovski, Dan Vodislav

2022

Abstract

In recent years, the number of data sources and the amount of generated data are increasing continuously. This voluminous data leads to several issues of storage capacities, data inconsistency, and difficulty of analysis. In the midst of all these difficulties, data integration techniques try to offer solutions to optimally face these problems. In addition, adding semantics to data integration solutions has proven its utility for tackling these difficulties, since it ensures semantic interoperability. In our work, which is placed in this context, we propose a semantic-based data integration and mapping maintenance approach with application to drugs domain. The contributions of our proposal deal with 1) a virtual semantic data integration and 2) an automated mapping maintenance based on deep learning techniques. The goal is to support the continuous and occasional data sources changes, which would highly affect the data integration. To this end, we focused mainly on managing metadata change within an integrated structure, refereed to as mapping maintenance. Our deep learning models encapsulate both convolutional, and Long short-term memory networks. A prototype has been developed and performed on two use cases. The process is fully automated and the experiments show significant results compared to the state of the art.

Paper Citation

in Harvard Style

Naji M., Masmoudi M., Zghal H., Guegan C., Stankovski V. and Vodislav D. (2022). Semantic-based Data Integration and Mapping Maintenance: Application to Drugs Domain. In Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-588-3, pages 469-477. DOI: 10.5220/0011279900003266

in Bibtex Style

@conference{icsoft22,
author={Mouncef Naji and Maroua Masmoudi and Hajer Zghal and Chirine Guegan and Vlado Stankovski and Dan Vodislav},
title={Semantic-based Data Integration and Mapping Maintenance: Application to Drugs Domain},
booktitle={Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2022},
pages={469-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011279900003266},
isbn={978-989-758-588-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Semantic-based Data Integration and Mapping Maintenance: Application to Drugs Domain
SN - 978-989-758-588-3
AU - Naji M.
AU - Masmoudi M.
AU - Zghal H.
AU - Guegan C.
AU - Stankovski V.
AU - Vodislav D.
PY - 2022
SP - 469
EP - 477
DO - 10.5220/0011279900003266