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Related Experiment Videos

The dimensions of indexing.

W John Wilbur1, Won Kim

  • 1National Center for Biotechnology Information (NCBI), National Library of Medicine, Bethesda, MD 20894, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
PubMed
Summary

Optimal document indexing enhances literature accessibility. Medical Subject Headings (MeSH) terms offer greater predictability and transparency compared to text words for improved information retrieval.

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Area of Science:

  • Information Science
  • Medical Informatics
  • Bibliometrics

Background:

  • Effective document indexing is crucial for literature accessibility.
  • Key dimensions for optimal indexing include coverage, predictability, and transparency.
  • Evaluating indexing quality impacts information retrieval systems.

Purpose of the Study:

  • To compare Medical Subject Headings (MeSH) terms and text words in MEDLINE based on indexing dimensions.
  • To assess the reliability and complexity of index term assignment criteria.
  • To determine which indexing method, MeSH or text words, offers superior performance.

Main Methods:

  • Comparative analysis of MeSH terms and text words within the MEDLINE database.
  • Application of AdaBoost with decision trees to evaluate index term assignment reliability.
  • Assessment of indexing criteria complexity using machine learning models.

Main Results:

  • MeSH terms demonstrate higher predictability in document indexing compared to text words.
  • MeSH terms provide greater transparency in the indexing process.
  • Analysis revealed variations in the reliability and complexity of assigning index terms.

Conclusions:

  • MeSH terms are superior to text words for predictable and transparent document indexing.
  • The findings support the use of controlled vocabularies like MeSH for enhanced information retrieval.
  • Understanding indexing dimensions is vital for optimizing access to scientific literature.

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