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Constructing a New-Style Conceptual Model of Brain Data for Systematic Brain Informatics
Dec. 2012 (vol. 24 no. 12)
pp. 2127-2142
Ning Zhong, Beijing University of Technology, Beijing and Maebashi Institute of Technology, Maebashi-City
Jianhui Chen, Beijing University of Technology, Beijing
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.
Index Terms:
Bismuth,Data models,Systematics,Brain models,Ontologies,Humans,provenance,Data-brain,brain informatics,domain-driven conceptual modeling,ontologies
Citation:
Ning Zhong, Jianhui Chen, "Constructing a New-Style Conceptual Model of Brain Data for Systematic Brain Informatics," IEEE Transactions on Knowledge and Data Engineering, vol. 24, no. 12, pp. 2127-2142, Dec. 2012, doi:10.1109/TKDE.2011.139
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