MDE-Based Graphical Tool for Modeling Data Provenance According to the W3C PROV Standard

Marcos Vieira, Marcos Vieira, Sergio Carvalho

2024

Abstract

The rise of the Internet of Things (IoT) and ubiquitous computing has led to a significant increase in data volumes, necessitating robust management. Data provenance is crucial for ensuring data reliability, integrity, and quality, tracking the origins, transformations, and movements of data. The W3C PROV standard, with syntaxes like PROV-N, provides textual and graphical representations for expressing and storing data provenance. However, despite its importance, there is a lack of user-friendly graphical tools for developers, particularly in IoT and ubiquitous computing. This paper addresses this gap by introducing an innovative graphical tool that enables the creation of user-friendly graphical data provenance models adhering to the W3C PROV standard. The tool offers an intuitive interface for developers, simplifying the process of obtaining PROV-N code from the generated provenance graph. We demonstrate the tool’s versatility across diverse domains, emphasizing its role in bridging the gap in graphical provenance modeling. The paper outlines the Model-Driven Engineering (MDE) methodology used in the tool development, and introduces its underlying Ecore metamodel aligned with the PROV data model (PROV-DM). Evaluation results of the metamodel are presented, and potential applications of the tool are discussed, emphasizing its contribution to enhancing provenance-aware applications.

Paper Citation

in Harvard Style

Vieira M. and Carvalho S. (2024). MDE-Based Graphical Tool for Modeling Data Provenance According to the W3C PROV Standard. In Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD; ISBN 978-989-758-682-8, SciTePress, pages 141-148. DOI: 10.5220/0012354700003645

in Bibtex Style

@conference{modelsward24,
author={Marcos Vieira and Sergio Carvalho},
title={MDE-Based Graphical Tool for Modeling Data Provenance According to the W3C PROV Standard},
booktitle={Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD},
year={2024},
pages={141-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012354700003645},
isbn={978-989-758-682-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD
TI - MDE-Based Graphical Tool for Modeling Data Provenance According to the W3C PROV Standard
SN - 978-989-758-682-8
AU - Vieira M.
AU - Carvalho S.
PY - 2024
SP - 141
EP - 148
DO - 10.5220/0012354700003645
PB - SciTePress