An Approach for Automatic Bidirectional Mapping Between Data Models and RDF-S

Aissam Belghiat

2024

Abstract

RDF and RDF-S are the normative language for describing web resource information in the context of the Semantic Web. Constructing RDF-S from scratch is a painful task, and deriving them from existing data sources became an important research problem. Furthermore, updating and evolving established RDF-S documents is another problem which must be taken into account. UML is widely applied to data modeling in many application domains. Building RDF-S from existing UML models is a promising technique that will facilitate elaboration of RDF-S models. Moreover, mapping RDF-S to UML will allow their intuitive updating. Thus, this work proposes an approach for mapping UML to RDF-S and RDF-S to UML. The translation makes the data modeled in UML class diagrams available for the Semantic Web and vice versa. The aim is facilitating building and evolving RDF-S documents using UML and vice versa.

Paper Citation

in Harvard Style

Belghiat A. (2024). An Approach for Automatic Bidirectional Mapping Between Data Models and RDF-S. In Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-718-4, SciTePress, pages 258-265. DOI: 10.5220/0012952700003825

in Bibtex Style

@conference{webist24,
author={Aissam Belghiat},
title={An Approach for Automatic Bidirectional Mapping Between Data Models and RDF-S},
booktitle={Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2024},
pages={258-265},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012952700003825},
isbn={978-989-758-718-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - An Approach for Automatic Bidirectional Mapping Between Data Models and RDF-S
SN - 978-989-758-718-4
AU - Belghiat A.
PY - 2024
SP - 258
EP - 265
DO - 10.5220/0012952700003825
PB - SciTePress