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Related Experiment Videos

Dimensions of knowledge sharing and reuse.

M A Musen1

  • 1Section on Medical Informatics, Stanford University School of Medicine, California 94305-5479.

Computers and Biomedical Research, an International Journal
|October 1, 1992
PubMed
Summary

Medical informatics professionals aim to reuse and share encoded knowledge. Overcoming challenges in knowledge representation meaning and context is key for advancing knowledge sharing and reuse in medical informatics.

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Area of Science:

  • Medical Informatics
  • Knowledge Representation
  • Artificial Intelligence in Medicine

Background:

  • Medical informatics workers aim to reuse and share encoded knowledge across diverse software environments.
  • Knowledge reuse encompasses lexicons, ontologies, inference syntax, tasks, and problem-solving methods.
  • Current obstacles include achieving consensus on knowledge representation meaning and context.

Purpose of the Study:

  • To address challenges in knowledge reuse and sharing within medical informatics.
  • To facilitate the development of environments for experimenting with knowledge reuse.
  • To support the interchange of knowledge representations and improve authoring tools.

Main Methods:

  • The study discusses the dimensions of knowledge reuse and obstacles in knowledge sharing.
  • It highlights the need for practical experience in knowledge interchange.
  • The PROTEGE-II project is presented as a knowledge-base authoring environment.

Main Results:

  • Difficulties in achieving consensus on knowledge representation meaning are a principal obstacle.
  • Enumerating context features and background knowledge is challenging.
  • Describing knowledge independent of specific interpreters or inference engines is problematic.

Conclusions:

  • Progress in knowledge sharing requires more practical experience and better tools.
  • The PROTEGE-II project offers a platform for experimenting with knowledge reuse.
  • Developing shared understanding and context is crucial for effective knowledge reuse in medical informatics.

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