NeuroQL: a domain-specific query language for neuroscience data

Authors:
Hao Tian;Rajshekhar Sunderraman;Robert Calin-Jageman;Hong Yang;Ying Zhu;Paul S. Katz
Affiliations:
Department of Computer Science, Georgia State University, Atlanta, GA;Department of Computer Science, Georgia State University, Atlanta, GA;Department of Biology, Georgia State University, Atlanta, GA;Department of Computer Science, Georgia State University, Atlanta, GA;Department of Computer Science, Georgia State University, Atlanta, GA;Department of Biology, Georgia State University, Atlanta, GA
Venue:
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
Year:
2006

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Abstract

In this paper, we propose a domain-specific query language called NeuroQL for the neuroscience domain. NeuroQL is designed primarily for neuroinformatics database users and aims to enable users to directly interact with neuroscience databases in their professional concepts and terms with the help of a conceptual data model. NeuroQL is DBMS independent and can be translated into traditional query language such as SQL, OQL and XQuery. It integrates some object-oriented features, and supports neuron domain-specific data types and query operators, which can dynamically evolve when the underlying database schema evolves.