A novel neuron data model with domain specific query language.
A novel neuron data model with a neuron domain specific query language is proposed in this paper. It is inspired by the project NeuronBank [14]. This data model is composed of five components: neuron data structure, constraints, operations, domain-specific query language (NeuroQL), and controlled vocabulary. It can capture and enforce more domain semantics than traditional data models, such as attributes of attributes and source information. It also enables users to model their special interests and constraints on any entity or its attribute in the data model. NeuroQL defines a list of queries in neuroscience terms, and can be easily extended.
Tian
Hao
H
Department of Computer Science, Georgia State University, Atlanta, GA 30303 USA.htian1@student.gsu.edu
Wang
Yanchao
Y
Yang
Hong
H
Sunderraman
Rajshekhar
R
Katz
Paul S
PS
Zhu
Ying
Y