Title :
Logical database design with ontologically clear entity relationship models
Author :
Pieris, D. ; Rajapakse, Jayantha
Author_Institution :
Sch. of Inf. Technol., Monash Univ., Bandar Sunway, Malaysia
Abstract :
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.
Keywords :
ontologies (artificial intelligence); relational databases; information systems development; logical database design; ontologically clear conceptual model; ontologically clear entity relationship models; ontologically unclear models; quality criterion; relational database schema; relational models; transformation rules; Algorithm design and analysis; Databases; Educational institutions; Erbium; Semantics; Silicon; Transforms;
Conference_Titel :
Information and Automation for Sustainability (ICIAfS), 2012 IEEE 6th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1976-8
DOI :
10.1109/ICIAFS.2012.6419906