• DocumentCode
    3069814
  • 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
  • fYear
    2012
  • fDate
    27-29 Sept. 2012
  • Firstpage
    209
  • Lastpage
    214
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation for Sustainability (ICIAfS), 2012 IEEE 6th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1976-8
  • Type

    conf

  • DOI
    10.1109/ICIAFS.2012.6419906
  • Filename
    6419906