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Semantic processing in information retrieval

T C Rindflesch1, A R Aronson

  • 1National Library of Medicine, Bethesda, MD 20894.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1993
PubMed
Summary
This summary is machine-generated.

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Using semantic information, specifically concept relations, enhances text information retrieval beyond simple phrase use. This approach leverages the Unified Medical Language System (UMLS) domain model for improved search effectiveness.

Area of Science:

  • Information Science
  • Natural Language Processing
  • Medical Informatics

Background:

  • Traditional information retrieval often uses phrases to represent text content.
  • Research indicates that phrases alone do not significantly improve retrieval effectiveness.
  • Existing methods lack the depth to capture nuanced meaning in text.

Purpose of the Study:

  • To investigate the enhancement of information retrieval through semantic processing of phrases.
  • To demonstrate that expressing relations between concepts represented by phrases improves retrieval.
  • To leverage the Unified Medical Language System (UMLS) domain model for semantic analysis.

Main Methods:

  • Reviewing existing literature on phrase-based information retrieval.
  • Developing and applying semantic processing techniques to text data.

Related Experiment Videos

  • Utilizing the UMLS domain model to identify and represent concept relations.
  • Evaluating retrieval effectiveness with semantic phrase extensions.

    • Main Results:

    • Phrase-based information retrieval alone shows limited effectiveness.
    • Semantic processing, by capturing concept relations, significantly enhances retrieval.
    • The UMLS domain model facilitates the practical implementation of semantic analysis.
    • The proposed approach demonstrates a measurable improvement in information retrieval performance.

    Conclusions:

    • Semantic processing of phrases offers a significant advantage over simple phrase use in information retrieval.
    • The integration of semantic information, particularly concept relations, is crucial for advancing retrieval systems.
    • The UMLS domain model provides a valuable resource for implementing effective semantic retrieval strategies.