Understanding the new SQL: a complete guide
Understanding the new SQL: a complete guide
Rationale for the Arden Syntax
Computers and Biomedical Research
SQLGEN: a framework for rapid client-server database application development
Computers and Biomedical Research
A statistical metadata model for clinical trials' data management
Computer Methods and Programs in Biomedicine
S.E.A.L.: a query language for entity-association queries
ADC '09 Proceedings of the Twentieth Australasian Conference on Australasian Database - Volume 92
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Entity-attribute-value (EAV) data organization is increasingly used for knowledge representation for complex heterogeneous biomedical databases. When delivered in relational 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.