Designing conceptual database models for innovative evaluation of quality (Contributo in atti di convegno)

Type
Label
  • Designing conceptual database models for innovative evaluation of quality (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Locuratolo, E. I. (2014)
    Designing conceptual database models for innovative evaluation of quality
    in EJC 2014 - 24th International Conference on Information Modelling and Knowledge Bases, Kiel, Germany, 3-6 June 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Locuratolo, E. I. (literal)
Pagina inizio
  • 300 (literal)
Pagina fine
  • 319 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • ISSN 2193-6781 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Kiel Computer Science Series (KCSS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 4 (literal)
Note
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Italy; (literal)
Titolo
  • Designing conceptual database models for innovative evaluation of quality (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • B. Thalheim, H. Jaakkola, Y. Kiyoki (literal)
Abstract
  • A theoretical approach to determine innovative evaluation of model quality is proposed. This approach is based on two different mappings to design the same conceptual database model: the former is a vertical mapping composed of bottom-up steps. It starts from the specification of a database applications supported by a formal model and achieves a resulting model based on semantic data models. The latter is a horizontal mapping composed of successive model extensions. It starts from a graph of conceptual classes and achieves the resulting model of the previous mapping. Formulas for the quantitative/numerical evaluations of the models are introduced during the vertical mapping, whereas \"formulas\" for the qualitative/conceptual evaluations of models are introduced during the horizontal mapping. The quantitative evaluations express the costs of what has been specified/proven in terms of variable and constant cardinality. The qualitative/conceptual evaluations express the saving that you get for what has been implicitly specified/proved. The quality measure of the resulting model is given in terms of hidden classes. These provide indication about different aspects of the model quality. (literal)
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