Data-Brain Modeling for Systematic Brain Informatics
In order to understand human intelligence in depth and find the cognitive models needed by Web Intelligence (WI), Brain Informatics (BI) adopts systematic methodology to study human “thinking centric” cognitive functions, and their neural structures and mechanisms in which the brain operates. For supporting systematic BI study, we propose a new conceptual brain data model, 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). On one hand, constructing such a Data-Brain is the requirement of systematic BI study. On the other hand, BI methodology supports such a Data-Brain construction. In this paper, we design a multi-dimension framework of Data-Brain and propose a BI methodology based approach for Data-Brain modeling. By this approach, we can construct a formal Data-Brain which provides a long-term, holistic vision to understand the principles and mechanisms of HIPS.
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- 3.Dameron, O., Gibaud, B., et al.: Towards a Sharable Numeric and Symbolic Knowledge Base on Cerebral Cortex Anatomy: Lessons from a Prototype. In: AMIA Symposium (AMIA 2002), pp. 185–189 (2002)Google Scholar
- 4.Fonseca, F., Martin, J.: Learning the Differences between Ontologies and Conceptual Schemes through Ontology-Driven Information Systems. JAIS, Special Issue on Ontologies in the Context of IS 8(2), 129–142 (2007)Google Scholar
- 8.Uschold, M., King, M.: Towards Methodology for Building Ontologies. In: Workshop on Basic Ontological Issues in Knowledge Sharing, held in conjunction with IJCAI 1995 (1995)Google Scholar
- 14.Zhong, N.: Actionable Knowledge Discovery: A Brain Informatics Perspective. Special Trends and Controversies department on Domain-Driven, Actionable Knowledge Discovery, IEEE Intelligent Systems, 85–86 (2007)Google Scholar
- 15.Australian EEG Database, http://eeg.newcastle.edu.au/inquiry/
- 16.Simulated Brain Database, http://www.bic.mni.mcgill.ca/brainweb/
- 17.Brain Bank, http://www.brainbank.cn/
- 18.The fMRI Data Center, http://www.fmridc.org/f/fmridc
- 21.Olfactory Receptor DataBase, http://senselab.med.yale.edu/ORDB/default.asp