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Mapping Relational Database to OWL Ontology Based on MDE Settings
Author(s) -
Benamar Bouougada,
Djelloul Bouchiha,
Redha Rebhi,
Ali Kidar,
Giulio Lorenzini,
Abdelghani Bouziane,
Hijaz Ahmad,
Younes Menni
Publication year - 2021
Publication title -
revue d'intelligence artificielle
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.146
H-Index - 14
eISSN - 1958-5748
pISSN - 0992-499X
DOI - 10.18280/ria.350305
Subject(s) - computer science , ontology , relational database , owl s , upper ontology , web ontology language , information retrieval , semantic web , process ontology , eclipse , database , semantic web stack , philosophy , epistemology , physics , astronomy
Ontology is an important aspect of the semantic web, which is why semantic web developers are interested in constructing ontology in various applications based on domain experts. By transforming an existing application database into ontology, we many construct ontologies without having to hire an expert in the field. Model-driven engineering is the foundation of the suggested strategy (MDE). In a nutshell, the technique is divided into two phases, the first of which attempts to prepare the data needed for the transformation in the form of a model with a database. A compliance relationship between this model and its meta-model is required. Phase (2) applies a set of rules written in the Atlas Transformational Language to change the model produced in the first phase into another model, which is an OWL ontology (ATL). We tested our solution using a set of databases created specifically for this purpose and built it in an eclipse environment using an EMF and ATL transform language. The acquired findings demonstrate the strength and efficacy of the recommended strategy.

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