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Interpreting natural language queries using the UMLS

S B Johnson1, A Aguirre, P Peng

  • 1Center for Medical Informatics, Columbia Presbyterian Medical Center, New York, NY 10032.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1993
PubMed
Summary
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AQUA (A QUery Analyzer) is a natural language interface that converts user queries into conceptual graphs for information retrieval. This semantic-focused approach aids in searching medical literature databases.

Area of Science:

  • Computer Science
  • Information Science
  • Medical Informatics

Background:

  • Information retrieval systems often struggle with complex natural language queries.
  • Developing effective natural language interfaces (NLIs) is crucial for user accessibility.

Purpose of the Study:

  • To describe AQUA (A QUery Analyzer), a natural language front end for an information retrieval system.
  • To enable users to query medical literature databases using natural language.

Main Methods:

  • AQUA translates natural language queries into the Conceptual Graph formalism.
  • The system prioritizes semantic parsing over syntactic parsing.
  • The Unified Medical Language System (UMLS) Semantic Net provides semantic restrictions.

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Main Results:

  • A functional natural language interface (AQUA) was developed.
  • The system successfully translates natural language queries into a structured graph representation.
  • The semantic-focused approach facilitates searching diverse resources like medical literature databases.

Conclusions:

  • AQUA offers a viable method for creating natural language interfaces for information retrieval.
  • The semantic-based approach, utilizing the UMLS Semantic Net, enhances query understanding.
  • This method is designed for easy emulation in applications requiring simple NLIs.