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A Conceptual Framework For Mapping Business Rules To The Enterprise Data Model

A Conceptual Framework For Mapping Business Rules To The Enterprise Data Model. Sudha Ram, Jun Liu Department of Management Information Systems The University of Arizona. Objectives. Provide data sourcing service for business rules

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A Conceptual Framework For Mapping Business Rules To The Enterprise Data Model

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  1. A Conceptual Framework For Mapping Business Rules To The Enterprise Data Model Sudha Ram, Jun Liu Department of Management Information Systems The University of Arizona

  2. Objectives • Provide data sourcing service for business rules • Design a conceptual model that captures semantics of business rules and associates business rules with the data objects they reference

  3. Challenging Issues • A “semantic gap” between business rules and the data model - Business experts specify business rules in natural language without referring to the enterprise data models • Business rules are subject to frequent changes

  4. Related Work • Explicitly express the content and structure of business rules. - Guide Project (The Business Rule Group, 2000) • Achieve an integrated conceptual model of business rules - Ross Method (Ross, 1997) - ORM (Object Role Model) (Halpin, 1996) • Business Rule Classification (Ram & Khatri, 2004)

  5. Our Conceptual Framework

  6. The Business Rules Model • Business terms – “a word or phrase that has a specific meaning for a business in designated context” • Business rules contain business terms • Example:

  7. The Mapping Mechanism • Map business terms to data objects in the enterprise data model • Classify business terms - a taxonomy of business terms

  8. The Mapping Mechanism (cont.) • Example

  9. A Prototype System • Architecture

  10. Business Terms Management Subsystem

  11. Business Rules Management Subsystem

  12. What if order quantity determines order size What if fulfillment performance also affects order importance Advantages of Our Framework • Loosely couple business rules with the data model • Support frequent changes to business rules

  13. Future Research • Create a framework for possible mappings between business terms and data objects in the data model • Model business rules based on an enterprise ontology that shows the relationship between business terms

  14. Questions ?

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