A Novel Neuron Data Model with Domain Specific Query Language
A Novel Neuron Data Model with Domain Specific Query Language
复制标题
具有特定领域查询语言的新型神经元数据模型
DOI：
10.1109/iembs.2005.1615876
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Ying Zhu
中科院分区：
文献类型：
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作者：
Hao Tian;Yanchao Wang;Hong Yang;Rajshekhar Sunderraman;P. Katz;Ying Zhu
本文提出了一种新的神经元数据模型和一种神经元领域特定的查询语言。它的灵感来自NeuronBank项目。该数据模型由五个组件组成：神经元数据结构、约束、操作、特定领域查询语言（NeuroQL）和受控词汇表。它可以捕获和执行比传统数据模型更多的领域语义，例如属性的属性和源信息。它还使用户能够对数据模型中的任何实体或其属性建模他们的特殊兴趣和约束。NeuroQL用神经科学术语定义了一个查询列表，并且可以很容易地扩展
A novel neuron data model with a neuron domain specific query language is proposed in this paper. It is inspired by the project NeuronBank. 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