doi: 10.17706/jsw.14.3.138-145
Using Reverse Engineering for Building Ontologies with Deeper Taxonomies from Relational Databases
2Faculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco
3High National School of Arts and Crafts (ENSAM), Meknes, Morocco
Abstract—The relational model is characterized by its high quality and has been widely used by information systems. However, unlike the conceptual model, the relational model is semantically poor since it doesn’t enable the representation of inheritance. In this paper, we present an algorithmic approach to extract generalization/ specialization inheritance hierarchies. We perform a reverse engineering by analyzing stored data. Finally, we evaluated our approach by conducting several experiments on relational databases. The results were satisfying in terms of recovering the tables lost during the transformation from the entity relationship model to the relational model.
Index Terms—Relational databases, generalization inheritance, specialization inheritance, reverse engineering, ontology generation.
Cite: Sara Sbai, Mohammed Reda Chbihi Louhdi, Hicham Behja, El Moukhtar Zemmouri, Chakhmoune Rabab1, "Using Reverse Engineering for Building Ontologies with Deeper Taxonomies from Relational Databases," Journal of Software vol. 14, no. 3, pp. 页码, 2019.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Biannually
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
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