A Novel Neuron Data Model with Domain Specific Query Language

Author

Tian, Hao ; Wang, Yanchao ; Yang, Hong ; Sunderraman, Rajshekhar ; Katz, Paul S. ; Zhu, Ying

Author_Institution

Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA

fYear

2005

fDate

6/27/1905 12:00:00 AM

Firstpage

6068

Lastpage

6071

Abstract

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

Keywords

medical information systems; neurophysiology; query languages; constraints; controlled vocabulary; domain semantics; domain specific query language NeuroQL; neuron data model; neuron data structure; neuroscience; operations; Biological system modeling; Computer science; Data models; Data structures; Database languages; Neurons; Neuroscience; Object oriented modeling; Unified modeling language; Vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1615876

Filename

1615876