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Using the UMLS Semantic Network as a basis for constructing a terminological knowledge base: a preliminary report

G Carenini1, J D Moore

  • 1University of Pittsburgh, Department of Computer Science, PA 15260.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1993
PubMed
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Reusing knowledge bases in Artificial Intelligence saves time, but sharing is challenging. This study explored using the UMLS Semantic Network as an ontology for a patient education system, yielding preliminary results.

Area of Science:

  • Artificial Intelligence
  • Medical Informatics
  • Knowledge Representation

Background:

  • Knowledge base reuse is beneficial but difficult in AI and Medical Informatics.
  • Reusing knowledge bases accelerates development and system integration.
  • Empirical evaluation is needed to determine knowledge sharing feasibility.

Purpose of the Study:

  • To investigate the feasibility of reusing the UMLS Semantic Network.
  • To utilize the UMLS Semantic Network as an ontology for a patient education system's knowledge base.

Main Methods:

  • Preliminary analysis of the UMLS Semantic Network's suitability.
  • Developing an ontology for a patient education system using the UMLS Semantic Network.

Main Results:

Related Experiment Videos

  • Preliminary findings on the successful adaptation of the UMLS Semantic Network.
  • Demonstration of the network's potential as a foundational ontology.

Conclusions:

  • The UMLS Semantic Network shows promise for reuse in patient education systems.
  • Further research is needed to fully assess knowledge sharing capabilities.