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A Fact-Oriented Approach to Business Rules

  • Terry Halpin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1920)

Abstract

Effective database applications, business rules management, data warehousing, enterprise modeling and re-engineering all depend on the quality of the underlying data model. To properly exploit relational, object-relational or object database technology, a clear understanding is needed as to how to create conceptual business models, transform them to logical database models for implementation on the chosen platform, and query the populated models. Factorientation provides a truly conceptual way to accomplish these tasks, facilitating communication between the modeler, the domain expert and the application. This presentation provides insights into the fact-oriented approach for modeling and querying information systems, focusing on verbalization and instantiation of data use cases for capturing business rules, including recent work on negative and default rule verbalizations.

References

  1. 1.
    Halpin, T.A. 1995, Conceptual Schema and Relational Database Design, 2nd edn (revised), WytLytPub, Bellevue USA. A third edition will be published by Morgan Kaufmann in 2001.Google Scholar
  2. 2.
    Halpin, T.A. 1999, ‘Fact-orientation before object-orientation: the case for data use cases’, DataToKnowledge Newsletter, vol. 27, no. 6, (Nov./Dec. 1999).Google Scholar
  3. 3.
    Halpin, T.A. & Bloesch, A.C. 1999, ‘Data modeling in UML and ORM: a comparison’, Journal of Database Management, Idea group Publishing Company, Hershey, USA.Google Scholar
  4. 4.
    OMG 1999, OMG Unified Modeling Language Specification, version 1.3, UML Revision Task Force, available online from http://www.omg.org.

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Terry Halpin
    • 1
  1. 1.Microsoft CorporationUSA

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