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Proc Annu Symp Comput Appl Med Care. 1993 : 715–719.
PMCID: PMC2850668

A conceptual model for information retrieval with UMLS.


Information retrieval in large information databases is a non-deterministic process which needs a sequence of search steps generally. One of the main problems to which the end-users are faced is to parse efficiently their questions into the query language that the computer systems allow. Conceptual graphs were initially designed for natural language analysis and understanding. Due to their closeness to semantic networks, their expressiveness is powerful enough to be applied to knowledge representation and use by computer systems. This work demonstrates that conceptual graphs are a suitable means to model the end-users querieson the basis of the thesaurus and the semantic network of the UMLS project.

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.
  • Bernauer J. Conceptual graphs as an operational model for descriptive findings. Proc Annu Symp Comput Appl Med Care. 1991:214–218. [PMC free article] [PubMed]
  • Campbell KE, Musen MA. Representation of clinical data using SNOMED III and conceptual graphs. Proc Annu Symp Comput Appl Med Care. 1992:354–358. [PMC free article] [PubMed]
  • Tuttle MS, Sperzel WD, Olson NE, Erlbaum MS, Suarez-Munist O, Sherertz DD, Nelson SJ, Fuller LF. The homogenization of the Metathesaurus schema and distribution format. Proc Annu Symp Comput Appl Med Care. 1992:299–303. [PMC free article] [PubMed]
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Articles from Proceedings of the Annual Symposium on Computer Application in Medical Care are provided here courtesy of American Medical Informatics Association