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Area of Science:

  • Computer Science
  • Information Systems

Background:

  • Data models and information models are widely recognized for their value in scientific literature.
  • Unified Modeling Language (UML) is a proven notation for precise specifications.
  • Current data exchange implementation guides often lack robust information models, relying on simple data sets.

Purpose of the Study:

  • To advocate for the use of information models as a foundation for interoperability specifications.
  • To demonstrate the benefits of integrating information models into implementation guides.
  • To encourage the application of information modeling principles in complex data exchange scenarios.

Main Methods:

  • Analysis of existing data exchange implementation guides.
  • Argumentation for the foundational role of information models.
  • Illustrative example of information model application.

Main Results:

  • Implementation guides frequently omit or inadequately represent information models.
  • Simple data sets are often used as a substitute for comprehensive information models.
  • Information models provide a superior basis for interoperability specifications.

Conclusions:

  • Information models are essential for achieving true data interoperability.
  • Implementation guides should incorporate or reference information models for clarity and precision.
  • The principles demonstrated can be extended to more complex data exchange challenges.