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Reverse Engineering Ontology to Conceptual Data Models

Haya El-Ghalayini·Mohammed Odeh·Richard McClatchey·Tony Solomonides
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Abstract

Ontologies facilitate the integration of heterogeneous data sources by resolving semantic heterogeneity between them. This research aims to study the possibility of generating a domain conceptual model from a given ontology with the vision to grow this generated conceptual data model into a global conceptual model integrating a number of existing data and information sources. Based on ontologically derived semantics of the BWW model, rules are identified that map elements of the ontology language (DAML+OIL) to domain conceptual model elements. This mapping is demonstrated using TAMBIS ontology. A significant corollary of this study is that it is possible to generate a domain conceptual model from a given ontology subject to validation that needs to be performed by the domain specialist before evolving this model into a global conceptual model.

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Haya El-Ghalayini, Mohammed Odeh, Richard McClatchey, Tony Solomonides. 2004-12-08. Reverse Engineering Ontology to Conceptual Data Models. https://arxiv.org/abs/cs/0412036

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