Abstract:
Big data and social network are challenges to IT. Mobile devices are becoming the major tools of collecting data and mediating social networking. However, current online social networks like Facebook and mobile devices like mobile phones are all centralized. The operators control all users’ data, but users know little about the social network and cannot make use of it. Furthermore, users are hard to protect their privacy. User private information has been abused for business purposes.
It is very urgent to explore a new platform to protect user interests and privacy and provide more powerful services to users. Smart phones become more and more powerful in obtaining and managing information, but they can neither guarantee persistent connection nor privacy protection. This talk is to introduce a Virtual, Mobile, Device-Centric Social Networking Framework to change current working paradigms of online social networks and mobile devices.
Bio:
Hai Zhuge is a professor at the Institute of Computing Technology of Chinese Academy of Sciences. He is the Chief Scientist of the Key Laboratory of Intelligent Information Processing of Chinese Academy of
Sciences and Vice Chairman of its Academic Committee. He is a Committee Member of IFIP International Task Force on Web Semantics, and an Associate Editors of the IEEE Intelligent Systems and the Knowledge and Information Systems.
He joined the current institute as a Hundred-Talent-Plan Professor of Chinese Academy of Sciences in 2000, and then became an Excellent Hundred-Talent-Plan Professor in 2004. He was the Chief Scientist of the National Semantic and Knowledge Grid project from 2004 to 2009, a research project of the prestige Basic Research Program of China. He was the Director of the Key Laboratory and an Associate Editor and Area Editor of many international journals such as Future Generation Computer Systems and Journal of Systems and Software. He is a pioneer of Knowledge Grid research area, and makes systematic contribution to the area by establishing its methodology, Resource Space Model, Semantic Link Network model, and Knowledge Flow Network model. He has established a systematic adaptive complex semantic space model and a set of scalable distributed semantic networking platforms for dynamic knowledge sharing.
He initiated the Cyber-Physical Society research direction (www.knowledgegrid.net/~H.Zhuge/CPS.htm), opened scientific issues, and has conducted fundamental research.