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The interface between information, terminology, and inference models.

A L Rector1

  • 1Medical Informatics Group, Department of Computer Science, University of Manchester, Manchester M13 9PL, England. rector@cs.man.ac.uk

Studies in Health Technology and Informatics
|October 18, 2001
PubMed
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This study addresses the crucial interface between information, terminology, and inference models for developing information systems. It proposes criteria and a notation for allocating information items to these models, ensuring independent development.

Area of Science:

  • Information Science
  • Computer Science
  • Knowledge Representation

Background:

  • Developing principled information systems requires clear definitions for the interface between information, terminology, and inference models.
  • Potential overlap exists among these models, necessitating principled methods for information allocation.

Purpose of the Study:

  • To outline criteria for choosing how to allocate information items among information, terminology, and inference models.
  • To propose a notation for recording these choices and their consequences.

Main Methods:

  • The study outlines criteria for decision-making regarding information allocation.
  • A possible notation is presented for documenting these allocation choices.

Main Results:

Related Experiment Videos

  • Defined criteria for selecting information allocation strategies.
  • Introduced a notation to record allocation choices and their implications.

Conclusions:

  • Establishing a well-defined interface between models allows for independent work on each.
  • The proposed criteria and notation facilitate principled information system development.