Engineering Conceptual Data Models from Domain Ontologies: A Critical Evaluation

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dc.creatorEl-Ghalayini, Haya
dc.creatorOdeh, Mohammed
dc.creatorMcClatchey, Richard
dc.date2006-01-28
dc.date.accessioned2026-07-07T06:58:01Z
dc.date.available2026-07-07T06:58:01Z
dc.descriptionThis paper studies the differences and similarities between domain ontologies and conceptual data models and the role that ontologies can play in establishing conceptual data models during the process of information systems development. A mapping algorithm has been proposed and embedded in a special purpose Transformation Engine to generate a conceptual data model from a given domain ontology. Both quantitative and qualitative methods have been adopted to critically evaluate this new approach. In addition, this paper focuses on evaluating the quality of the generated conceptual data model elements using Bunge-Wand-Weber and OntoClean ontologies. The results of this evaluation indicate that the generated conceptual data model provides a high degree of accuracy in identifying the substantial domain entities along with their attributes and relationships being derived from the consensual semantics of domain knowledge. The results are encouraging and support the potential role that this approach can take part in process of information system development.
dc.description12 pages, 3 figures, presented at the 4th International Conference on Computer Science and Information Technology (CSIT'06). Amman Jordan April 2006
dc.identifierhttps://arxiv.org/abs/cs/0601119
dc.identifierhttp://arxiv.org/abs/cs/0601119
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/107193
dc.subjectSoftware Engineering
dc.subjectD.2.11
dc.titleEngineering Conceptual Data Models from Domain Ontologies: A Critical Evaluation
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