Volume 14 Number 3 (Mar. 2019)
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JSW 2019 Vol.14(3): 138-145 ISSN: 1796-217X
doi: 10.17706/jsw.14.3.138-145

Using Reverse Engineering for Building Ontologies with Deeper Taxonomies from Relational Databases

Sara Sbai1*, Mohammed Reda Chbihi Louhdi2, Hicham Behja1, El Moukhtar Zemmouri3, Chakhmoune Rabab1
1High National School of Electricity and Mechanics (ENSEM), Hassan II University, Casablanca, Morocco
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.

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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.

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General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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