Logical database design with ontologically clear entity relationship models

It is argued that ontologically clear entity relationship models can model the real world domains more accurately than ontologically unclear models. However, transformation of such models into the relational model at the logical level has not yet been studied sufficiently with a view to formulate ne...

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Bibliographic Details
Main Authors: Pieris, D., Rajapakse, J.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Educational institutions
Erbium
Semantics
Silicon
Transforms
Online Access:Request full text
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Summary:It is argued that ontologically clear entity relationship models can model the real world domains more accurately than ontologically unclear models. However, transformation of such models into the relational model at the logical level has not yet been studied sufficiently with a view to formulate new transformation rules. This paper presents a set of new transformation rules to convert ontologically clear conceptual models to relational models. Finally we did a comparison of two relational models that were developed from the ontologically clear and unclear models using a quality criterion synthesized from the extant literature. The preliminary results of this ongoing research study shows that the quality of relational model developed from ontologically clear conceptual model is superior to its ontologically unclear counterpart.
ISSN:2151-1802
2151-1810
DOI:10.1109/ICIAFS.2012.6419906