报告题目：Mapping Big Data into Knowledge Space
Big data have attracted great attention in science, technology, industry and society. However, its nature and the fundamental challenge have not been recognised. Big data research is developing with the evolving scientific paradigm, the fourth industrial revolution, and transformational innovation of technologies. This lecture tries to answer the following questions: What is the nature of big data? What is the relation between big data and knowledge? What kind of infrastructure is requested to support not only big data management and analysis but also knowledge discovery and management? What is the relationship between big data and science paradigm? What is the fundamental challenge of big data computing? Can we find an approach to mapping big data into knowledge space?
Hai Zhuge, the author of The Knowledge Grid: Toward Cyber-Physical Society, an ACM Distinguished Scientist and a Fellow of British Computer Society. He is a professor of the Institute of Computing Technology in Chinese Academy of Sciences. He was a Distinguished Visiting Fellow of Royal Academy of Engineering (UK). He is serving as an associate editor of IEEE Intelligent Systems and steering the International Conference on Semantics, Knowledge and Grids. Webpage: www.knowledgegrid.net/~h.zhuge.