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Proc Annu Symp Comput Appl Med Care. 1993 : 596–600.
PMCID: PMC2850646

Generating MEDLINE search strategies using a librarian knowledge-based system.


We describe a librarian knowledge-based system that generates a search strategy from a query representation based on a user's information need. Together with the natural language parser AQUA, the system functions as a human/computer interface, which translates a user query from free text into a BRS Onsite search formulation, for searching the MEDLINE bibliographic database. In the system, conceptual graphs are used to represent the user's information need. The UMLS Metathesaurus and Semantic Net are used as the key knowledge sources in building the knowledge base.

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Selected References

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  • Cimino JJ, Johnson SB, Aguirre A, Roderer N, Clayton PD. The MEDLINE Button. Proc Annu Symp Comput Appl Med Care. 1992:81–85. [PMC free article] [PubMed]
  • Hersh W, Hickam DH, Haynes RB, McKibbon KA. Evaluation of SAPHIRE: an automated approach to indexing and retrieving medical literature. Proc Annu Symp Comput Appl Med Care. 1991:808–812. [PMC free article] [PubMed]
  • Merz RB, Cimino C, Barnett GO, Blewett DR, Gnassi JA, Grundmeier R, Hassan L. Q & A: a query formulation assistant. Proc Annu Symp Comput Appl Med Care. 1992:498–502. [PMC free article] [PubMed]

Articles from Proceedings of the Annual Symposium on Computer Application in Medical Care are provided here courtesy of American Medical Informatics Association