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Extending an object-oriented model: Multiple class objects

  • Session 6b: Object-Oriented Modeling
  • Conference paper
  • First Online:
Conceptual Modeling — ER '97 (ER 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1331))

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Abstract

Experiences of both researchers and practitioners with the development of object-oriented database systems help us to evaluate the real contributions of object-oriented modeling principles and show the limits and possibilities of improvements of the object-oriented model. One of the research areas where such a need was recognized concerns the class membership. In most object-oriented data model objects must belong to a single most specific class. However, the real world situations often break this presumption. The aim of this paper is to discuss the issues relating to an extension of modeling concepts to capture the objects that can belong to the multiple most specific classes. Our final objective is to present a framework for the formal object-oriented models that will provide the rigorous theoretical tool to solve issues concerning conflicts that can arise instructural components of objects. Most importantly, we show that the structural conflicts can be solved from the context determined by the static typing.

Supported by the grant of the Czech Grant Agency No. 102/96/0986 Object-Oriented Database Model and by the grant of the Czech Ministry of Education No. 0630 Modeling of Inheritance in the Object-Oriented Database Model.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Faculty of Electrical Engineering and Computer Science Technical University of Brno, Božetêchova 2, 612 66, Brno, Czech Republic

    Tomáŝ Hruŝka & Petr Kolenĉík

Authors
  1. Tomáŝ Hruŝka
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  2. Petr Kolenĉík
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David W. Embley Robert C. Goldstein

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© 1997 Springer-Verlag Berlin Heidelberg

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Hruŝka, T., Kolenĉík, P. (1997). Extending an object-oriented model: Multiple class objects. In: Embley, D.W., Goldstein, R.C. (eds) Conceptual Modeling — ER '97. ER 1997. Lecture Notes in Computer Science, vol 1331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63699-4_19

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  • DOI: https://doi.org/10.1007/3-540-63699-4_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63699-1

  • Online ISBN: 978-3-540-69630-8

  • eBook Packages: Springer Book Archive

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