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Data & Knowledge Engineering
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ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
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Domain-Driven, Actionable Knowledge Discovery
IEEE Intelligent Systems
Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling
Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling
PROMOD: a modeling tool for product ontology
DEECS'06 Proceedings of the Second international conference on Data Engineering Issues in E-Commerce and Services
Data-brain modeling for systematic brain informatics
BI'09 Proceedings of the 2009 international conference on Brain informatics
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Research challenges and perspectives on Wisdom Web of Things (W2T)
The Journal of Supercomputing
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This paper presents a case study on Data-Brain construction based on Brain Informatics (BI) methodology. The Data-Brain is a conceptual brain data model, which represents functional relationships among multiple human brain data sources, with respect to all major aspects and capabilities of human information processing system for systematic investigation and understanding of human intelligence. On one hand, developing such a Data-Brain is a core research issue in BI. On the other hand, BI methodology supports such a Data-Brain construction. A graphical modeling language, the View-Fact-Dimension-Model (VFDM), is proposed. Using the VFDM, we can take part in the Data-Brain construction easily, which provides a long-term, holistic vision to understand the principle and mechanisms of human information processing system.