QAV: querying entity-attribute-value metadata in a biomedical database

Computer Methods and Programs in Biomedicine
P M Nadkarni

Abstract

Entity-attribute-value (EAV) data organization is increasingly used for knowledge representation for complex heterogeneous biomedical databases. When delivered in relation form for production applications the simplicity of EAV storage is offset by difficulty of set-based data retrieval. We describe a client-server application, QAV, that is designed to perform set-based query on the Columbia MED dataset, a large medical metadata repository that has been the focus of much research. QAV interacts with the user through a graphical front end and generates a series of SQL statements that are sent to the server for the actual data retrieval.

References

Sep 1, 1994·Computers in Biology and Medicine·G Hripcsak
Jan 1, 1994·Journal of the American Medical Informatics Association : JAMIA·J J CiminoS B Johnson
Jan 1, 1996·Journal of the American Medical Informatics Association : JAMIA·J L KannryP L Miller
Dec 1, 1995·Computers and Biomedical Research, an International Journal·P M Nadkarni, K H Cheung
Dec 19, 2003·Nucleic Acids Research·Olivier Bodenreider

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Citations

Jun 1, 2005·International Journal of Medical Informatics·Renske K LosJohan van der Lei
Sep 12, 2001·Computer Methods and Programs in Biomedicine·W GallP Sachs
Feb 3, 2005·Nature Reviews. Drug Discovery·David B Searls
Aug 4, 2004·Journal of Bioinformatics and Computational Biology·Heng DaiXiang Yao
May 5, 2006·Journal of Speech, Language, and Hearing Research : JSLHR·Sally MilesHeidi Sindberg

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