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Hierarchies in Object Oriented Conceptual Modeling

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Advances in Object-Oriented Information Systems (OOIS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2426))

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Abstract

One of the most powerful tools of abstraction used in object- oriented conceptual modelling is the specialisation/generalisation hierarchy, which allows representing taxonomic relationships among classes. A specialisation/generalisation hierarchy (from now on, taxonomy or taxonomic hierarchy) has always two main associated characteristics: the classification and the inheritance concepts. There are, however, different kinds of taxonomic hierarchies (classification, inheritance, role, etc.) which are often confused or misused in modelling. Sometimes, this occurs because one kind of taxonomic hierarchy is used to represent two or more different concepts. In this paper we present a model of useful taxonomic hierarchies for conceptual modelling from an object-oriented perspective. The taxonomic hierarchies that we propose to represent knowledge are based on Aristotle’s definition of essence and accident.

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Author information

Authors and Affiliations

  1. Kybele Research Group, Rey Juan Carlos University, 28933, Móstoles (Madrid), Spain

    Esperanza Marcos & Jose María Cavero

Authors
  1. Esperanza Marcos
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  2. Jose María Cavero
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Editor information

Editors and Affiliations

  1. LIUPPA, Computer Science Research Department, University of Pau, B.P. 1155, 64013, Pau Cedex, France

    Jean-Michel Bruel

  2. LIRMM, 161 rue Ada, 34392, Montpellier Cedex 5, France

    Zohra Bellahsene

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© 2002 Springer-Verlag Berlin Heidelberg

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Marcos, E., Cavero, J.M. (2002). Hierarchies in Object Oriented Conceptual Modeling. In: Bruel, JM., Bellahsene, Z. (eds) Advances in Object-Oriented Information Systems. OOIS 2002. Lecture Notes in Computer Science, vol 2426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46105-1_4

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  • DOI: https://doi.org/10.1007/3-540-46105-1_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44088-8

  • Online ISBN: 978-3-540-46105-0

  • eBook Packages: Springer Book Archive

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