Document Detail


Conceptual graph grammar--a simple formalism for sublanguage.
MedLine Citation:
PMID:  9865032     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
There are a wide variety of computer applications that deal with various aspects of medical language: concept representation, controlled vocabulary, natural language processing, and information retrieval. While technical and theoretical methods appear to differ, all approaches investigate different aspects of the same phenomenon: medical sublanguage. This paper surveys the properties of medical sublanguage from a formal perspective, based on detailed analyses cited in the literature. A review of several computer systems based on sublanguage approaches shows some of the difficulties in addressing the interaction between the syntactic and semantic aspects of sublanguage. A formalism called Conceptual Graph Grammar is presented that attempts to combine both syntax and semantics into a single notation by extending standard Conceptual Graph notation. Examples from the domain of pathology diagnoses are provided to illustrate the use of this formalism in medical language analysis. The strengths and weaknesses of the approach are then considered. Conceptual Graph Grammar is an attempt to synthesize the common properties of different approaches to sublanguage into a single formalism, and to begin to define a common foundation for language-related research in medical informatics.
Authors:
S B Johnson
Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Methods of information in medicine     Volume:  37     ISSN:  0026-1270     ISO Abbreviation:  Methods Inf Med     Publication Date:  1998 Nov 
Date Detail:
Created Date:  1999-02-24     Completed Date:  1999-02-24     Revised Date:  2005-11-16    
Medline Journal Info:
Nlm Unique ID:  0210453     Medline TA:  Methods Inf Med     Country:  GERMANY    
Other Details:
Languages:  eng     Pagination:  345-52     Citation Subset:  IM    
Affiliation:
Department of Medical Informatics, Columbia University, New York, USA. sbj2@columbia.edu
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MeSH Terms
Descriptor/Qualifier:
Computer Graphics*
Humans
Medical Informatics Applications
Medical Informatics Computing*
Natural Language Processing*
Vocabulary, Controlled

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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