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Related Experiment Videos

Evaluation of the Information Sources Map.

E A Mendonça1, J J Cimino

  • 1Columbia University, New York, NY, USA.

Proceedings. AMIA Symposium
|November 24, 1999
PubMed
Summary

The UMLS Information Sources Map (ISM) database shows potential for digital libraries to connect terminologies and access sources. However, the ISM requires significant improvements in granularity, completeness, and accuracy for automated retrieval.

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Area of Science:

  • Medical Informatics
  • Digital Libraries
  • Database Management

Background:

  • Preliminary studies for digital library development are crucial.
  • Effective information retrieval relies on robust database management.
  • Connecting diverse terminologies is a key challenge in digital libraries.

Purpose of the Study:

  • To evaluate the UMLS Information Sources Map (ISM) database for digital library applications.
  • To assess the ISM's capability in connecting terminologies and facilitating access to information sources.
  • To identify limitations of the ISM for automated source selection and retrieval.

Main Methods:

  • Studied the UMLS Information Sources Map (ISM) database.
  • Assessed features related to indexing and connecting online information sources.
  • Evaluated the ISM's suitability for automated source selection and retrieval.

Main Results:

  • The ISM database features align with needs for automated source selection and retrieval.
  • The ISM is potentially useful for digital library development.
  • Key areas for improvement include information granularity, completeness, and accuracy.

Conclusions:

  • The UMLS Information Sources Map (ISM) database has potential utility for digital libraries.
  • Significant modifications to the ISM are necessary for effective automated source selection and retrieval.
  • Addressing data granularity, completeness, and accuracy is essential for enhancing the ISM's functionality.

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