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Deriving complex structured object types for business process modelling

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Entity-Relationship Approach — ER '94 Business Modelling and Re-Engineering (ER 1994)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 881))

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Abstract

To build efficient information systems it is important to understand and to optimize the business processes which should be supported. INCOME/STAR is an integrated environment for the cooperative development of large, distributed information systems. INCOME/STAR supports the conceptual modelling of structural system aspects by the entity relationship model and of dynamic system aspects by high level Petri nets. This combination provides a powerful concept for the integrated modelling of business processes.

The behaviour of the complex object types within business processes can be described by a new variant of Petri nets, so-called Nested Relation/Transition-Nets. In this paper we suggest a new concept for the derivation of complex structured object types to be used for business process modelling. Complex object types can be interpreted as views on a given global entity relationship scheme. We give rules how to derive such complex object types from the global scheme and represent them as object types in a semantic hierarchy model as well as in an extended ER model.

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Author information

Authors and Affiliations

  1. PROMATIS Informatik, Descostraße 10, D-76307, Karlsbad, Germany

    Peter Jaeschke

  2. Institut für Angewandte Informatik und Formale Beschreibungsverfahren, Universität Karlsruhe(TH), D-76128, Karlsruhe, Germany

    Andreas Oberweis & Wolffried Stucky

Authors
  1. Peter Jaeschke
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  2. Andreas Oberweis
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  3. Wolffried Stucky
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Editor information

Pericles Loucopoulos

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© 1994 Springer-Verlag Berlin Heidelberg

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Jaeschke, P., Oberweis, A., Stucky, W. (1994). Deriving complex structured object types for business process modelling. In: Loucopoulos, P. (eds) Entity-Relationship Approach — ER '94 Business Modelling and Re-Engineering. ER 1994. Lecture Notes in Computer Science, vol 881. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58786-1_71

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  • DOI: https://doi.org/10.1007/3-540-58786-1_71

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58786-6

  • Online ISBN: 978-3-540-49100-2

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