Toward Agile Interaction Model based ontology development Methodology (AIME) for FAIR European data spaces

Lina Nachabe (1, 2, 3, 4) , Fatma-Zohra Hannou (5) , Maxime Lefrançois (1, 2, 3, 4) , Marie Jubault (5)

1 Mines Saint-Étienne MSE - École des Mines de Saint-Étienne
2 LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes
3 FAYOL-ENSMSE - Institut Henri Fayol
4 FAYOL-ENSMSE - Département Informatique et systèmes intelligents
5 EDF R&D - EDF R&D

The European Union's initiative on European data spaces aims to support innovation and economic growth by facilitating secure, interoperable data sharing across key sectors such as health, energy, and mobility. Within European data spaces, high priority is given to adherence to FAIR data principles. Thus, data and services should be findable, accessible, interoperable, and reusable. Ontologies as semantic models are fundamental in achieving semantic interoperability, as they provide a common framework for data and service access, discovery, understanding and reuse. However, the inherent complexity of data space initiatives, coupled with their underlying domains diversity are key challenge facing optimal FAIRness. This motivates the need for an agile methodology that aligns with data space principles, integrates existing domain standards, consolidates the use of metadata for ontology's FAIRness, and engages various involved actors (domain experts, data service providers, ontology engineers) towards the development of common data space ontology. In the frame of the OMEGA-X project, aiming to build an energy data space, this paper presents AIME, an ontology development methodology integrating the reuse of both standards and reference ontologies to enable the development of modular ontologies for data spaces. It leverages agile principles to strengthen communication between various stakeholders through different steps: reference standards and ontologies selection, selection of use cases, design and selection of interaction models capturing data exchanges, ontology modules creation, automation and continuous integration features to support the entire original ontology engineering phaseand reuse by data space users.

Mots clés: Data space; FAIR principles; Ontology engineering methodology; European standards; Agile developement; Modular ontologies

Domaines: Modélisation et simulation

Lina Nachabe, Fatma-Zohra Hannou, Maxime Lefrançois, Marie Jubault. Toward Agile Interaction Model based ontology development Methodology (AIME) for FAIR European data spaces. FOAM 2024: FAIR principles for Ontologies and Metadata in Knowledge Management, Jul 2024, Enschede, Netherlands. ⟨emse-04687819⟩