Reverse Engineering Ontology to Conceptual Data Models

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dc.creatorEl-Ghalayini, Haya
dc.creatorOdeh, Mohammed
dc.creatorMcClatchey, Richard
dc.creatorSolomonides, Tony
dc.date2004-12-08
dc.date.accessioned2026-07-07T03:22:10Z
dc.date.available2026-07-07T03:22:10Z
dc.descriptionOntologies 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.
dc.description6 pages, 3 figures. Accepted by the IASTED International Conference on Databases and Applications (DBA 2005)
dc.identifierhttps://arxiv.org/abs/cs/0412036
dc.identifierhttp://arxiv.org/abs/cs/0412036
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32492
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectDatabases
dc.subjectH2.4;J.3
dc.titleReverse Engineering Ontology to Conceptual Data Models
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