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Terminological reference of a knowledge-based system: the data dictionary

J Stausberg1, A Wormek, U Kraut

  • 1GSF-Forschungszentrum für Umwelt und Gesundheit GmbH, Institut für Medizinische Informatik und Systemforschung, Neuherberg, Ingolstädter Landstr. 1, D-85764 Oberschleissheim, Germany.

Medinfo. MEDINFO
|January 1, 1995
PubMed
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A separate data dictionary is essential for defining terminology in open, integrated medical knowledge bases. This approach supports knowledge sharing, reuse, and modular system development.

Area of Science:

  • Medical Informatics
  • Knowledge Representation
  • Ontology Engineering

Background:

  • Open and integrated knowledge bases require standardized terminology.
  • Existing knowledge base definitions lack separation from the knowledge model.

Purpose of the Study:

  • To propose and validate a data dictionary for medical knowledge representation.
  • To enable modular development and integration of knowledge-based systems.

Main Methods:

  • Development of a reference model for medical knowledge.
  • Creation of a data dictionary independent of specific knowledge models.
  • Application of the data dictionary in term definition, documentation, and knowledge bases.

Main Results:

Related Experiment Videos

  • The data dictionary effectively separates terminology from knowledge models.
  • Demonstrated utility in term definition, documentation, and knowledge base applications.
  • Facilitated knowledge sharing, reuse, and modular system design.

Conclusions:

  • A separated data dictionary is crucial for managing terminology in integrated medical knowledge systems.
  • This approach enhances interoperability, reusability, and modularity of knowledge-based systems.