Literature DB >> 8130481

Interpreting natural language queries using the UMLS.

S B Johnson1, A Aguirre, P Peng, J Cimino.   

Abstract

This paper describes AQUA (A QUery Analyzer), the natural language front end of a prototype information retrieval system. AQUA translates a user's natural language query into a representation in the Conceptual Graph formalism. The graph is then used by subsequent components to search various resources such as databases of the medical literature. The focus of the parsing method is on semantics rather than syntax, with semantic restrictions being provided by the UMLS Semantic Net. The intent of the approach is to provide a method that can be emulated easily in applications that require simple natural language interfaces.

Mesh:

Year:  1993        PMID: 8130481      PMCID: PMC2248521     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  4 in total

1.  Integrating a hypernymic proposition interpreter into a semantic processor for biomedical texts.

Authors:  Marcelo Fiszman; Thomas C Rindflesch; Halil Kilicoglu
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  Assisting consumer health information retrieval with query recommendations.

Authors:  Qing T Zeng; Jonathan Crowell; Robert M Plovnick; Eunjung Kim; Long Ngo; Emily Dibble
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

Review 3.  The basis for using the Internet to support the information needs of primary care.

Authors:  E E Westberg; R A Miller
Journal:  J Am Med Inform Assoc       Date:  1999 Jan-Feb       Impact factor: 4.497

4.  Automatically extracting information needs from complex clinical questions.

Authors:  Yong-gang Cao; James J Cimino; John Ely; Hong Yu
Journal:  J Biomed Inform       Date:  2010-07-27       Impact factor: 6.317

  4 in total

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