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An Ontological Metamodel of Classifiers and Its Application to Conceptual Modelling and Database Design

  • Jeffrey Parsons
  • Xueming Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4801)

Abstract

Classification is a key concept in conceptual modeling. However, the recognition that there might be different kinds of classes has received limited attention in conceptual modeling research. Most work has focused on the concept of role. However, confusion exists on the definition, properties, and representation of role. In this paper, we propose a metamodel of classifiers based on ontological foundations. We focus on the notion of role in the object-oriented and conceptual modeling literature. The metamodel conforms to the fundamental role features identified in the literature and handles several problems associated with role modeling. Furthermore, we contrast conceptual models created using our metamodel to those created using traditional ER or class modeling approaches, and highlight the database design implications of the differences. Using examples, we demonstrate that relational database schemata generated using our approach are more stable with respect to changing requirements.

Keywords

Phase Type Association Class Participation Constraint Natural Type Mutual Attribute 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Jeffrey Parsons
    • 1
  • Xueming Li
    • 2
  1. 1.Faculty of Business Administration, Memorial University of Newfoundland, St. John’s, NL, A1B 3X5Canada
  2. 2.Department of Computer Science, Memorial University of Newfoundland, St. John’s, NL, A1B 3X5Canada

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