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Related Experiment Videos

Ranking documents with a thesaurus.

R Rada, E Bicknell

    Journal of the American Society for Information Science. American Society for Information Science
    |August 7, 1989
    PubMed
    Summary
    This summary is machine-generated.

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    A new formula, DISTANCE, accurately measures conceptual distance between medical queries and documents using Medical Subject Headings (MeSH). Enhancing MeSH with non-broader-than relations could further improve retrieval accuracy.

    Area of Science:

    • Medical Informatics
    • Information Retrieval
    • Computational Linguistics

    Background:

    • Evaluating and improving thesauri is crucial for effective information retrieval.
    • Thesauri like Medical Subject Headings (MeSH) organize biomedical knowledge.
    • Assessing conceptual distance between queries and documents is a key challenge in retrieval.

    Purpose of the Study:

    • To develop and evaluate a computational method for measuring conceptual distance between queries and documents.
    • To compare the performance of this method against human judgment.
    • To explore methods for improving thesaurus-based document retrieval.

    Main Methods:

    • Developed a formula named DISTANCE to quantify conceptual distance.
    • Encoded queries and documents using MeSH terms.

    Related Experiment Videos

  • Compared DISTANCE's performance with human assessments of conceptual distance.
  • Experimented with augmenting MeSH with non-broader-than (BT) relations.

    • Main Results:

    • The DISTANCE formula demonstrated high accuracy in simulating human judgment of conceptual distance.
    • The accuracy is attributed to the reliance on broader-than (BT) relations in MeSH.
    • Inconsistencies in MeSH BT relations were identified as a source of discrepancy.
    • Adding non-BT relations to MeSH showed potential for improving document ranking.

    Conclusions:

    • The DISTANCE formula offers a reliable computational approach to assess conceptual similarity in biomedical literature.
    • The structure and content of thesauri, particularly BT relations, significantly impact retrieval performance.
    • Further refinement of thesauri by incorporating diverse relational types can enhance document retrieval systems.