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Multi-dimensional summarization in cyber-physical society

Prof. Hai Zhuge gave us an excited academic talk about “Multi-dimensional summarization in cyber-physical society”, invited by (i) School of Computer Science and Technology, and (ii) Jiangsu Research Center of Information Security Engineering. Prof. Hai Zhuge is affiliated with Aston University, UK. He is now a chair professor in our university. The talk took place at Room 109, Building S2, Xianlin Campus. The dean, Prof. Genlin Ji hosted the talk. Most of our faculties and students were present.

Prof. Hai Zhuge is the associate editor of “IEEE Intelligent Systems” and “Knowledge and Information Systems”. He has made a distinguished contribution to semantics, knowledge and data modelling. He created the Semantic Link Network model based on semantic link discovery and self-organized semantic linking rules and the Resource Space Model based on the discovery of dimensions and the theory and method for multi-dimensional categorization and management for various resources. The two models are integrated to form a semantic space model to represent the fundamental structure of cyberspace. It uses a uniform theory and method for modeling, organizing, retrieving, and managing both cyber objects and concepts so that various information services can be efficiently provided through understanding. It developed a set of high-performance semantic distributed platforms to provide a self-organized and adaptive architecture for efficiently sharing and managing various cyber objects.

Prof. Hai Zhuge has applied the multi-dimensional category space to form a multi-dimensional methodological space to study, manage, create and apply methodologies. He has applied this model and theory to transform summarisation research toward multidimensional summarisation in cyber-physical society. He pioneers research on knowledge Grid, summarisation of things, and cyber-physical-social intelligence.

Prof. Hai Zhuge said, “Summarization is one of the key features of human intelligence. It plays an important role in understanding and representation. With rapid and continual expansion of texts, pictures and videos in cyberspace, automatic summarization becomes more and more desirable. Text summarization has been studied for over half century, but it is still hard to automatically generate a satisfied summary. Traditional methods process texts empirically and neglect the fundamental characteristics and principles of language use and understanding. This lecture summarizes previous text summarization approaches in a multi-dimensional classification space, introduces a multi-dimensional methodology for research and development, unveils the basic characteristics and principles of language use and understanding, investigates some fundamental mechanisms of summarization, studies the dimensions and forms of representations, and proposes a multi-dimensional evaluation mechanisms. Investigation extends to the incorporation of pictures into summary and to the summarization of videos, graphs and pictures, and then reaches a general summarization framework.”

This rich talk gave us forward thinking. Prof. Zhuge communicated with us effectively and clearly. He answered all the questions from the audiences patiently. Finally, this talk ended in deafening applauses.