Title: Semantic Networking for Cyber Physical Socio Intelligence
Speaker: Prof. Hai Zhuge (Chinese Academy of Sciences Institute of Computing
Technology, and the Southwest University)
Host by: A/Prof. Hengtao Shen

Abstract:
Humans have been recognizing, establishing and making use of various relations consciously and unconsciously since the formation of human society.  Waving and maintaining various relations accompany everyone's life. Humans' social behaviors create or emphasize relations. Various networks evolve with the development of society. Some relational networks gradually become independent of individuals' life during evolution so that they become a part of knowledge and culture sharable cross generations.  Humans have intelligence to observe and participate in social processes, to think, and to know the effect of establishing a relation. Humans can also actively select appropriate relations and persons according to requirement, situation and social rules.  Machines are obviously limited in these abilities. Various graph-based models have been used to connect resources in the cyber space. Two issues are fundamental: (1) machines know little relation in human society and the nature, various data structures are for machines to process not for humans to read, so it is not realistic to expect machines to discover social and natural laws and resolve relevant issues without human instruction; and, (2) machines are hard to know the effect of establishing and making use of relations, and to explain computing result according to society and nature.  The cause is that machines do not have any worldview.  Connecting various networks in cyber space, physical space, social space, and mental space can create a new world --- Cyber Physical Socio Thought Environment where individuals have semantic images that can enhance mutual understanding. The semantic images can be constructed by a Semantic Link Network SLN consisting of nodes with rich semantics, semantic links between nodes, and rules for reasoning, influencing and evolving the network. Waving semantic link networks in the environment and exploring the laws of semantic networking are challenge issues.

Biography:
Prof. Hai Zhuge is a professor of the Key Lab of Intelligent Information Processing at Chinese Academy of Sciences Institute of Computing Technology, and the Southwest University. He is the chief scientist and the former director of the academy's Key Lab of Intelligent Information Processing. He is the chief scientist of the China National Semantic Knowledge Grid Research Project and the founder of the China Knowledge Grid Research Group. His research concerns the Knowledge Grid methodology, Resource Space Model (RSM), Semantic Link Network model (SLN), Knowledge Flow, and Cyber Physical Society.  He presented over ten keynotes in international conferences. He initiates the International Conference on Semantics, Knowledge and Grid (SKG, www.knowledgegrid.net), and was the chair and program co-chair of several international conferences. He is an associate editor of the Knowledge and Information Systems and the IEEE Intelligent Systems. He also serves as the reviewer of several national foundations such as NSF of Australia, NSF of China, SFI of Ireland, and NSF of USA. He is the author of The Knowledge Grid and The Web Resource Space Model. He was the top scholar in relevant area during 2000 to 2004, according to a Journal of Systems and Software assessment report. His publications appeared in CACM, Computer, IEEE TKDE, IEEE TPDS, JASIST and ACM TOIT. His work was cited by IEEE TKDE, JPDC, ACM TSEM, ACM TAAS, WWW, ICSE and ISWC. He received 2007's Innovation Award of China Computer Federation for his fundamental theory of the Knowledge Grid. He is a senior member of ACM and IEEE.