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International Conference on Model and Data Engineering

MEDI 2013: Model and Data Engineering pp 188–199Cite as

Structural Entities of an Ontology-Driven Unifying Metamodel for UML, EER, and ORM2

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8216))

Abstract

Software interoperability may be achieved by using their respective conceptual data models. However, each model may be represented in a different conceptual data modelling language for the tool’s purpose or due to legacy issues. Several translations between small subsets of language features are known, but no unified model exists that includes all their language features. Aiming toward filling this gap, we designed a common and unified, ontology-driven, metamodel covering and unifying EER, UML Class Diagrams v2.4.1, and ORM2. This paper presents the static, structural, components of the metamodel, highlighting the common entities and summarizing some modelling motivations.

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Author information

Authors and Affiliations

  1. School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal and UKZN/CSIR-Meraka Centre for Artificial Intelligence Research, South Africa

    C. Maria Keet

  2. Departamento de Ciencias e Ingeniería de la Computación, Universidad Nacional del Sur, Bahía Blanca, Argentina

    Pablo Rubén Fillottrani

  3. Comisión de Investigaciones Científicas, Provincia de Buenos Aires, Argentina

    Pablo Rubén Fillottrani

Authors
  1. C. Maria Keet
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  2. Pablo Rubén Fillottrani
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Editor information

Editors and Affiliations

  1. ICAR-CNR and University of Calabria, 87036, Cosenza, Italy

    Alfredo Cuzzocrea

  2. INRIA-Bordeaux Sud Ouest, France

    Sofian Maabout

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Keet, C.M., Fillottrani, P.R. (2013). Structural Entities of an Ontology-Driven Unifying Metamodel for UML, EER, and ORM2. In: Cuzzocrea, A., Maabout, S. (eds) Model and Data Engineering. MEDI 2013. Lecture Notes in Computer Science, vol 8216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41366-7_16

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  • DOI: https://doi.org/10.1007/978-3-642-41366-7_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41365-0

  • Online ISBN: 978-3-642-41366-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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