Different disciplines have been established to deal with the representation of entities of different ontological natures: the business process modeling discipline focuses mostly on event-like entities, and, in contrast, the data modeling discipline focuses mostly on object-like entities.  In each of these disciplines, entities of one of these ontological categories are first-class citizens, while the other category plays a marginal role (if any).  Some notable exceptions in the process discipline are the so-called business artifact-centric approaches,  and in the data modeling discipline, the event reification approach.  In this paper, I discuss the impact of the event vs. object divide for the conceptual modeling of information systems, showing that a rich ontological account is required to bridge this divide. Accounting for the ontological differences in events and objects as well as the relations they bear to themselves and to time can lead to a more comprehensive representation of business reality.

About this Lecture

Number of Slides:  60-80
Duration:  60-90 minutes
Languages Available:  English
Last Updated: 

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