Constructing a New-Style Conceptual Model of Brain Data for Systematic Brain Informatics
Constructing a New-Style Conceptual Model of Brain Data for Systematic Brain Informatics
复制标题
DOI：
10.1109/tkde.2011.139
复制
发表时间：
2012-12
影响因子：
8.9
通讯作者：
Ning Zhong;Jianhui Chen
中科院分区：
文献类型：
--
作者：
Ning Zhong;Jianhui Chen
脑科学的发展导致了大脑数据的大量增加。为了满足脑信息学（BI）系统方法论的要求，提出了一种新的脑数据概念模型--Data-Brain，它明确地表示了多个人脑数据源之间的各种关系，涉及人类信息处理系统（HIPS）的所有主要方面和能力。一个多维的框架和BI的方法论为基础的本体建模方法已经开发出实现数据大脑。数据大脑、基于数据大脑的BI起源和异构大脑数据可以用于构建基于数据大脑的大脑数据中心，该数据中心提供了一个全球框架，以整合来自整个研究过程的数据、信息和知识，从而进行系统的BI研究。这种数据-大脑建模方法代表了一种全新的领域驱动的大脑数据概念建模方法，它对系统研究人类信息处理机制的整个过程进行建模。
The development of brain science has led to a vast increase of brain data. To meet requirements of a systematic methodology of Brain Informatics (BI), this paper proposes a new conceptual model of brain data, namely Data-Brain, which explicitly represents various relationships among multiple human brain data sources, with respect to all major aspects and capabilities of human information processing systems (HIPS). A multidimension framework and a BI methodology-based ontological modeling approach have been developed to implement a Data-Brain. The Data-Brain, Data-Brain-based BI provenances, and heterogeneous brain data can be used to construct a Data-Brain-based brain data center which provides a global framework to integrate data, information, and knowledge coming from the whole research process for systematic BI study. Such a Data-Brain modeling approach represents a radically new way for domain-driven conceptual modeling of brain data, which models a whole process of systematically investigating human information processing mechanisms.